Economic Researcher Jobs in UAE

Job Description<br><br>Job Title: Astronomer Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Astronomer Quality Assurance Lead to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong astronomy/astrophysics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your astronomy/astrophysics quality leadership will directly help improve the world’s premier AI models by ensuring that astronomy and astrophysics training data is accurate, physically sound, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in astronomy/astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows. Strong understanding of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty. Ability to evaluate astronomy/astrophysics content against detailed rubrics and identify issues such as incorrect physical assumptions, wrong units, flawed calculations, hallucinated facts, misleading explanations, or oversimplified conclusions. Familiarity with tools or methods such as Python, astronomical datasets, telescope/observatory data, spectroscopy, photometry, simulations, LaTeX, Jupyter notebooks, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, annotators, science writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check astronomy/astrophysics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated astronomy/astrophysics explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and astronomy/astrophysics-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around physical assumptions, units, astronomical terminology, observational methods, formulas, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain astronomy/astrophysics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and astronomy/astrophysics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply astronomy/astrophysics review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, physically impossible, numerically incorrect, or poorly sourced astronomy/astrophysics claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for astronomy/astrophysics AI training projects.

Job Description<br><br>Job Title: Sociology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead to oversee quality, consistency, and trainer performance across sociology-focused AI training projects. You will review AI-generated sociology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for sociological accuracy, theory application, research literacy, social context, methodological rigor, ethical awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your sociology quality leadership will directly help improve the world’s premier AI models by ensuring that sociology training data is accurate, nuanced, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, Social Research, Demography, Criminology, Gender Studies, Ethnic Studies, Public Policy, Anthropology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in sociology research, teaching, social policy analysis, qualitative/quantitative research, academic writing, social science review, community research, or related workflows. Strong understanding of sociological theory, social institutions, inequality, stratification, race/ethnicity, gender, class, culture, deviance, organizations, social change, demography, and research methods. Ability to evaluate sociology content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, methodological flaws, weak causal claims, oversimplification, biased framing, or inaccurate use of sociological concepts. Familiarity with areas such as survey research, interviews, ethnography, statistical analysis, social policy, urban sociology, family sociology, education, health disparities, work/organizations, or criminology is preferred. Experience leading or supporting remote teams of researchers, educators, analysts, reviewers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check sociology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Sociology review: Evaluate AI-generated sociology explanations, theory applications, research summaries, social policy discussions, demographic interpretations, and reasoning for accuracy and nuance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and sociology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around sociological concepts, social theory, research methods, inequality, culture, ethics, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain sociology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and sociology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply sociology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag stereotyping, stigmatizing language, unsupported claims about social groups, weak causal reasoning, or ethically problematic social analysis. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for sociology AI training projects.

Job Description<br><br>Job Title: Anthropology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects. You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong anthropology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your anthropology quality leadership will directly help improve the world’s premier AI models by ensuring that anthropology training data is accurate, culturally sensitive, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Anthropology, Cultural Anthropology, Archaeology, Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in anthropology research, teaching, ethnography, archaeology, museum/heritage work, cultural analysis, academic writing, fieldwork, or related workflows. Strong understanding of anthropological theory, cultural relativism, ethnographic methods, kinship, ritual, language/culture relationships, material culture, human evolution, archaeology, ethics, and representation. Ability to evaluate anthropology content against detailed rubrics and identify issues such as cultural stereotyping, ethnocentrism, unsupported generalizations, outdated terminology, methodological errors, weak contextualization, or ethically problematic framing. Familiarity with areas such as ethnography, participant observation, archaeological methods, human origins, kinship systems, religion/ritual, migration, colonialism, Indigenous studies, museum ethics, or linguistic anthropology is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, fieldworkers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check anthropology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Anthropology review: Evaluate AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, human evolution explanations, and social/cultural reasoning for accuracy and sensitivity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and anthropology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around cultural context, anthropological concepts, ethnographic methods, archaeology, human evolution, ethics, representation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain anthropology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and anthropology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply anthropology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag ethnocentric, stereotyping, culturally insensitive, outdated, unsupported, or ethically problematic anthropology content. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for anthropology AI training projects.

Job Description<br><br>Job Title: Biology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Biology Quality Assurance Lead to oversee quality, consistency, and trainer performance across biology AI training projects. You will review AI-generated biology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, terminology correctness, experimental logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biology quality leadership will directly help improve the world’s premier AI models by ensuring that biology training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Biology, Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear scientific feedback in English.3+ years of professional experience in biology research, laboratory work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or related workflows. Strong understanding of core biology topics such as cell biology, molecular biology, genetics, evolution, ecology, physiology, microbiology, biochemistry, immunology, anatomy, developmental biology, and experimental design. Ability to evaluate biology content against detailed rubrics and identify issues such as incorrect assumptions, flawed experimental reasoning, inaccurate terminology, missing context, unsafe recommendations, hallucinated facts, incomplete explanations, or misleading scientific claims. Familiarity with common biology tools or workflows such as laboratory documentation, microscopy, PCR/q PCR, sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific literature review is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, researchers, technical writers, educators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, scientific content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check biology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated biology explanations, biological mechanisms, experimental reasoning, genetics problems, diagrams/descriptions, terminology, and problem-solving steps for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and biology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around biological reasoning, terminology, experimental design, methods, safety concerns, scientific claims, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain biology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply biology guidelines consistently and understand updates as projects evolve. Risk and safety review: Flag unsafe, misleading, or overconfident biology recommendations, especially where lab procedures, biological samples, pathogens, genetic engineering, health claims, environmental impact, or biosafety may be affected. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for biology AI training projects.

Job Description<br><br>Job Title: Sociology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead to oversee quality, consistency, and trainer performance across sociology-focused AI training projects. You will review AI-generated sociology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for sociological accuracy, theory application, research literacy, social context, methodological rigor, ethical awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your sociology quality leadership will directly help improve the world’s premier AI models by ensuring that sociology training data is accurate, nuanced, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Sociology, Social Sciences, Social Research, Demography, Criminology, Gender Studies, Ethnic Studies, Public Policy, Anthropology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in sociology research, teaching, social policy analysis, qualitative/quantitative research, academic writing, social science review, community research, or related workflows. Strong understanding of sociological theory, social institutions, inequality, stratification, race/ethnicity, gender, class, culture, deviance, organizations, social change, demography, and research methods. Ability to evaluate sociology content against detailed rubrics and identify issues such as unsupported generalizations, stereotyping, methodological flaws, weak causal claims, oversimplification, biased framing, or inaccurate use of sociological concepts. Familiarity with areas such as survey research, interviews, ethnography, statistical analysis, social policy, urban sociology, family sociology, education, health disparities, work/organizations, or criminology is preferred. Experience leading or supporting remote teams of researchers, educators, analysts, reviewers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check sociology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Sociology review: Evaluate AI-generated sociology explanations, theory applications, research summaries, social policy discussions, demographic interpretations, and reasoning for accuracy and nuance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and sociology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around sociological concepts, social theory, research methods, inequality, culture, ethics, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain sociology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and sociology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply sociology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag stereotyping, stigmatizing language, unsupported claims about social groups, weak causal reasoning, or ethically problematic social analysis. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for sociology AI training projects.

Job Description<br><br>Job Title: Anthropology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects. You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong anthropology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your anthropology quality leadership will directly help improve the world’s premier AI models by ensuring that anthropology training data is accurate, culturally sensitive, ethically aware, research-informed, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Anthropology, Cultural Anthropology, Archaeology, Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in anthropology research, teaching, ethnography, archaeology, museum/heritage work, cultural analysis, academic writing, fieldwork, or related workflows. Strong understanding of anthropological theory, cultural relativism, ethnographic methods, kinship, ritual, language/culture relationships, material culture, human evolution, archaeology, ethics, and representation. Ability to evaluate anthropology content against detailed rubrics and identify issues such as cultural stereotyping, ethnocentrism, unsupported generalizations, outdated terminology, methodological errors, weak contextualization, or ethically problematic framing. Familiarity with areas such as ethnography, participant observation, archaeological methods, human origins, kinship systems, religion/ritual, migration, colonialism, Indigenous studies, museum ethics, or linguistic anthropology is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, fieldworkers, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, social science QA, academic review, cultural sensitivity review, or rubric-based review is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check anthropology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Anthropology review: Evaluate AI-generated anthropology explanations, ethnographic summaries, cultural comparisons, archaeology discussions, human evolution explanations, and social/cultural reasoning for accuracy and sensitivity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and anthropology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around cultural context, anthropological concepts, ethnographic methods, archaeology, human evolution, ethics, representation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain anthropology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and anthropology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply anthropology review guidelines consistently and understand updates as projects evolve. Bias and ethics review: Flag ethnocentric, stereotyping, culturally insensitive, outdated, unsupported, or ethically problematic anthropology content. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for anthropology AI training projects.

Job Description<br><br>Job Title: Biology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Biology Quality Assurance Lead to oversee quality, consistency, and trainer performance across biology AI training projects. You will review AI-generated biology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, terminology correctness, experimental logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biology quality leadership will directly help improve the world’s premier AI models by ensuring that biology training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Biology, Molecular Biology, Cell Biology, Genetics, Microbiology, Biochemistry, Ecology, Evolutionary Biology, Neuroscience, Physiology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear scientific feedback in English.3+ years of professional experience in biology research, laboratory work, teaching, scientific writing, technical review, quality control, biotechnology, life sciences, or related workflows. Strong understanding of core biology topics such as cell biology, molecular biology, genetics, evolution, ecology, physiology, microbiology, biochemistry, immunology, anatomy, developmental biology, and experimental design. Ability to evaluate biology content against detailed rubrics and identify issues such as incorrect assumptions, flawed experimental reasoning, inaccurate terminology, missing context, unsafe recommendations, hallucinated facts, incomplete explanations, or misleading scientific claims. Familiarity with common biology tools or workflows such as laboratory documentation, microscopy, PCR/q PCR, sequencing, gel electrophoresis, cell culture, ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific literature review is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, researchers, technical writers, educators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, scientific content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check biology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated biology explanations, biological mechanisms, experimental reasoning, genetics problems, diagrams/descriptions, terminology, and problem-solving steps for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and biology-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around biological reasoning, terminology, experimental design, methods, safety concerns, scientific claims, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain biology project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biology-specific review requirements. Quality alignment: Ensure all trainers and QAs apply biology guidelines consistently and understand updates as projects evolve. Risk and safety review: Flag unsafe, misleading, or overconfident biology recommendations, especially where lab procedures, biological samples, pathogens, genetic engineering, health claims, environmental impact, or biosafety may be affected. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for biology AI training projects.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Research Engineer (Multi-Modal & Vision) based in United Arab Emirates.<br><br>This is an exciting opportunity for a research-focused AI engineer to contribute to the development of advanced multimodal systems that combine vision and language capabilities. The role covers the full AI model lifecycle, from dataset creation and training pipeline development to model evaluation, optimization, and deployment. Working within a highly skilled and collaborative team, you will help build scalable AI solutions designed for real-world production environments. The position offers significant ownership, direct impact on cutting-edge research initiatives, and the opportunity to apply state-of-the-art techniques to solve complex challenges. Ideal candidates are passionate about advancing multimodal AI while maintaining a strong engineering mindset focused on measurable outcomes and practical deployment.<br><br>Accountabilities<br><br>Conduct end-to-end research and development of vision-language models, including training, evaluation, optimization, and deployment activities. Design and implement advanced post-training methodologies such as supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Build, curate, filter, and maintain high-quality multimodal datasets tailored to domain-specific applications. Improve model efficiency and scalability through optimization, compression, and adaptation techniques suitable for resource-constrained environments. Develop benchmarking systems and evaluation frameworks to assess model quality, robustness, and real-world performance. Build and maintain distributed training workflows across GPU infrastructure while identifying and resolving performance bottlenecks. Contribute to open-source AI ecosystems by leveraging and enhancing models, datasets, and development tools. Monitor emerging research in multimodal learning and vision-language systems, translating relevant advancements into practical improvements. Collaborate on research publications and contribute to scientific advancements through conference or journal submissions when appropriate.<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field; Master's or PhD preferred. Strong hands-on experience working with multimodal AI systems, particularly vision-language models. Proven expertise in supervised fine-tuning, knowledge distillation, reinforcement learning from feedback, and other post-training optimization techniques. Experience with parameter-efficient fine-tuning approaches and distributed training frameworks. Demonstrated success improving model performance on industry-standard benchmarks or production use cases. Strong understanding of model optimization techniques for deployment in resource-constrained environments. Experience building scalable machine learning pipelines and training workflows on GPU infrastructure. Proven contributions to open-source multimodal AI projects through platforms such as Git Hub or Hugging Face. Research background supported by publications in leading AI conferences or journals is highly desirable. Strong analytical thinking, problem-solving skills, and the ability to balance research innovation with production-oriented engineering practices. Excellent communication skills and the ability to collaborate effectively within distributed, cross-functional teams.<br><br>Benefits<br><br>Competitive salary package aligned with experience and expertise. Opportunity to work on cutting-edge multimodal AI and vision-language research projects. Fully remote work environment with global collaboration opportunities. Exposure to large-scale AI infrastructure and advanced machine learning technologies. High degree of autonomy, ownership, and impact on product and research outcomes. Collaboration with experienced researchers, engineers, and AI specialists. Professional growth opportunities through research, innovation, and publication support. Flexible working arrangements that support work-life balance. Dynamic, fast-paced environment focused on innovation and continuous learning.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Since 2012, Khazna has become the leading wholesale data center provider in the Middle East and North Africa, delivering reliable and scalable infrastructure to support the region’s growing digital ecosystem.<br>As part of our Emiratization initiatives, we are looking for a Procurement Business Analyst to support the Chief Corporate Strategy Officer (CCSO) with data-driven insights, business analysis, and decision support. The role will provide market, financial, operational, and performance analysis to support strategic initiatives, business cases, and informed decision-making.<br>KEY ACCOUNTABILITIES:Conduct business, market, and competitive analysis to support strategic initiatives. Analyse industry trends, benchmarks, and market dynamics to identify risks and opportunities. Develop data-driven strategic options, scenarios, and recommendations. Gather, analyse, and consolidate financial, operational, commercial, and market data. Translate complex data into clear insights and recommendations for senior leadership. Develop dashboards, reports, summaries, and management insights for strategic discussions. Support business case development, including financial modelling, cost-benefit analysis, ROI, and value assessments. Analyse performance drivers, sensitivities, and assumptions to support investment and prioritisation decisions. Track strategic and commercial initiatives, including progress, dependencies, risks, and outcomes. Collaborate with Strategy, Finance, Operations, Commercial, IT, and Business Units to validate data and assumptions. Prepare executive presentations, briefing notes, and materials for CCSO, ExCo, and Board-level discussions. Support leadership workshops, strategy sessions, and off-sites through structured analysis and relevant insights.<br>QUALIFICATIONS & COMPETENCIES:Bachelor’s degree in Business, Economics, Finance, Engineering, or a related discipline; Master’s degree preferred.5–9 years of experience in business analysis, strategy, consulting, commercial, or financial analysis. Strong analytical, financial modelling, and problem-solving skills. Experience supporting senior leadership or strategic functions is preferred. Advanced proficiency in Excel, Power Point, and data analysis tools. Strong business acumen, structured thinking, attention to detail, and ability to translate data into clear insights. Excellent stakeholder engagement and executive communication skills, with the ability to work effectively in ambiguous and fast-paced environments.

Role: Business Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Management consultant to work on a contract basis. The role involves analyzing business processes, identifying inefficiencies, and recommending strategic improvements to enhance operational performance and profitability. Candidates will collaborate with cross-functional teams to implement data-driven solutions tailored to client-specific challenges.<br>Key Responsibilities:• Diagnose operational bottlenecks and inefficiencies in client organizations through data analysis and stakeholder interviews.• Develop and present actionable recommendations to senior leadership, aligning solutions with business objectives and industry best practices.• Lead the design and implementation of process improvements, including workflow redesign, automation opportunities, and performance metrics.• Conduct market and competitive analysis to inform strategic decision-making and identify growth opportunities for clients.• Document findings in clear, structured reports and presentations for executive audiences, ensuring measurable impact.<br>Required Skills & Qualifications:• Experience in management consulting with a focus on process optimization and operational efficiency.• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) to derive insights from client datasets.• Strong project management skills with the ability to manage multiple engagements simultaneously.• Excellent communication and presentation skills to articulate complex ideas to non-technical stakeholders.• A Bachelor’s degree in Business Administration, Finance, Economics, or a related field; MBA or advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the transformation of client organizations through evidence-based strategies. The position requires adaptability to diverse industries and the ability to deliver measurable results within tight deadlines.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Business Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Management consultant to work on a contract basis. The role involves analyzing business processes, identifying inefficiencies, and recommending strategic improvements to enhance operational performance and profitability. Candidates will collaborate with cross-functional teams to implement data-driven solutions tailored to client-specific challenges.<br>Key Responsibilities:• Diagnose operational bottlenecks and inefficiencies in client organizations through data analysis and stakeholder interviews.• Develop and present actionable recommendations to senior leadership, aligning solutions with business objectives and industry best practices.• Lead the design and implementation of process improvements, including workflow redesign, automation opportunities, and performance metrics.• Conduct market and competitive analysis to inform strategic decision-making and identify growth opportunities for clients.• Document findings in clear, structured reports and presentations for executive audiences, ensuring measurable impact.<br>Required Skills & Qualifications:• Experience in management consulting with a focus on process optimization and operational efficiency.• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) to derive insights from client datasets.• Strong project management skills with the ability to manage multiple engagements simultaneously.• Excellent communication and presentation skills to articulate complex ideas to non-technical stakeholders.• A Bachelor’s degree in Business Administration, Finance, Economics, or a related field; MBA or advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the transformation of client organizations through evidence-based strategies. The position requires adaptability to diverse industries and the ability to deliver measurable results within tight deadlines.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Business Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Management consultant to work on a contract basis. The role involves analyzing business processes, identifying inefficiencies, and recommending strategic improvements to enhance operational performance and profitability. Candidates will collaborate with cross-functional teams to implement data-driven solutions tailored to client-specific challenges.<br>Key Responsibilities:• Diagnose operational bottlenecks and inefficiencies in client organizations through data analysis and stakeholder interviews.• Develop and present actionable recommendations to senior leadership, aligning solutions with business objectives and industry best practices.• Lead the design and implementation of process improvements, including workflow redesign, automation opportunities, and performance metrics.• Conduct market and competitive analysis to inform strategic decision-making and identify growth opportunities for clients.• Document findings in clear, structured reports and presentations for executive audiences, ensuring measurable impact.<br>Required Skills & Qualifications:• Experience in management consulting with a focus on process optimization and operational efficiency.• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) to derive insights from client datasets.• Strong project management skills with the ability to manage multiple engagements simultaneously.• Excellent communication and presentation skills to articulate complex ideas to non-technical stakeholders.• A Bachelor’s degree in Business Administration, Finance, Economics, or a related field; MBA or advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the transformation of client organizations through evidence-based strategies. The position requires adaptability to diverse industries and the ability to deliver measurable results within tight deadlines.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

We are seeking a high-calibre, results-driven professional to join a leading organization in the energy and waste management sector in the UAE as Manager - Mergers & Acquisitions and Business Development. The role focuses on driving growth through strategic investments, M&A, and business development initiatives, requiring global business exposure and the ability to work effectively across diverse, multicultural markets. Job Responsibilities Will Include:Identify, evaluate, and execute M&A, investment, and strategic partnership opportunities within the energy and waste management sectors. Lead end-to-end M&A processes, including target screening, due diligence, financial modelling, valuation, and deal execution. Drive business development initiatives to expand the company’s portfolio in energy and environmental services. Support international expansion across emerging and global markets. Build and manage relationships with investors, financial institutions, and strategic partners. Collaborate with senior leadership and cross-functional teams to execute strategic transactions and initiatives. Prepare and present investment proposals, business cases, and reports to senior management. Oversee post-acquisition integration, performance tracking, and synergy realization. Monitor market trends and industry developments to identify new growth opportunities. Key Skills and Qualifications Required:Bachelor's degree in Finance, Economics, Business, Engineering, or a related field; MBA preferred. Professional certification such as CFA, ACCA, CPA, or FMVA required.7 - 8 years of M&A and business development experience within the energy, utilities, or waste management sectors. Proven experience executing end-to-end M&A transactions and driving business development initiatives. Strong expertise in financial modelling, valuation (DCF & comparable analysis), and due diligence. Good understanding of energy markets (renewables, power, waste-to-energy, sustainability) and the regulatory landscape. Strong stakeholder management, negotiation, and commercial acumen. Experience with cross-border transactions is an advantage. Bilingual proficiency in Arabic and English is required.

Role Description We are seeking a highly analytical and detail-oriented Actuary to evaluate financial risks and develop mathematical models that support strategic business decisions. The role is responsible for analyzing statistical data, assessing risk exposure, and designing actuarial models used in pricing, reserving, forecasting, and financial planning. Responsibilities include conducting quantitative analyses, evaluating insurance and financial risks, developing predictive models, preparing actuarial reports, and providing recommendations to improve risk management and business performance. The Actuary will collaborate with finance, underwriting, product development, compliance, and senior management teams to support product pricing, capital management, regulatory reporting, and long-term financial sustainability. The position also involves monitoring industry trends, validating actuarial assumptions, maintaining actuarial documentation, ensuring compliance with applicable regulatory and professional standards, and continuously improving analytical methodologies. The successful candidate will deliver accurate, data-driven insights that support informed decision-making while maintaining the highest standards of professionalism, integrity, and analytical excellence. Qualifications Bachelor's degree or equivalent qualification in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline. Strong understanding of actuarial principles, probability, statistics, financial mathematics, and risk management. Knowledge of insurance products, financial modeling, reserving, pricing methodologies, and regulatory requirements. Proficiency in statistical analysis, data modeling, and analytical software such as Excel, SQL, R, Python, SAS, or similar tools. Strong quantitative, analytical, and critical thinking skills. Ability to interpret complex data and communicate findings clearly to technical and non-technical stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Ability to manage multiple analytical projects while meeting deadlines. Strong written and verbal communication skills. Commitment to ethical standards, professional integrity, continuous learning, and high-quality analytical work. Ability to work independently and collaboratively within multidisciplinary teams.

Senior Manager – Strategic Planning<br>Our client is a leading financial services organisation undergoing an ambitious transformation programme. They are seeking a Senior Manager – Strategic Planning to help shape enterprise strategy, drive execution of strategic priorities and support executive leadership in delivering long-term business objectives.<br>This is a highly visible role, working closely with senior stakeholders to influence strategic direction and ensure successful delivery of key initiatives across the organisation.<br>Key Responsibilities Lead the development and evolution of the organisation's corporate strategy and long-term strategic roadmap. Conduct market, competitor and macroeconomic analysis to identify growth opportunities and strategic priorities. Develop strategic frameworks, performance measures and executive-level reporting for senior leadership. Produce high-quality presentations, board papers and strategic recommendations to support executive decision making. Establish and oversee governance frameworks to ensure effective execution of strategic initiatives. Monitor strategic programmes, KPIs, risks and interdependencies, ensuring initiatives remain aligned to business objectives. Partner with business leaders to translate strategy into operational execution and measurable outcomes. Facilitate quarterly and annual strategic performance reviews for executive leadership. Manage relationships with external consulting partners, ensuring engagements deliver commercial value and actionable recommendations. Evaluate consulting proposals, oversee project delivery and ensure knowledge transfer into the organisation. Promote best practice strategic planning methodologies and continuous improvement across the business.<br>Required Experience Bachelor's degree in Business, Finance, Economics or a related discipline. MBA or equivalent postgraduate qualification preferred. Approximately 10+ years' professional experience, including significant experience within corporate strategy, strategic planning or enterprise transformation. Experience within the financial services sector is essential. Demonstrated success developing and executing enterprise-wide strategic initiatives. Strong experience engaging with executive leadership and preparing board-level presentations. Previous experience working with, or managing, external consulting firms is highly desirable. Experience operating within complex, matrix organisations.<br>48/52k AED per month

Role Description We are seeking a highly analytical and detail-oriented Actuary to evaluate financial risks and develop mathematical models that support strategic business decisions. The role is responsible for analyzing statistical data, assessing risk exposure, and designing actuarial models used in pricing, reserving, forecasting, and financial planning. Responsibilities include conducting quantitative analyses, evaluating insurance and financial risks, developing predictive models, preparing actuarial reports, and providing recommendations to improve risk management and business performance. The Actuary will collaborate with finance, underwriting, product development, compliance, and senior management teams to support product pricing, capital management, regulatory reporting, and long-term financial sustainability. The position also involves monitoring industry trends, validating actuarial assumptions, maintaining actuarial documentation, ensuring compliance with applicable regulatory and professional standards, and continuously improving analytical methodologies. The successful candidate will deliver accurate, data-driven insights that support informed decision-making while maintaining the highest standards of professionalism, integrity, and analytical excellence. Qualifications Bachelor's degree or equivalent qualification in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline. Strong understanding of actuarial principles, probability, statistics, financial mathematics, and risk management. Knowledge of insurance products, financial modeling, reserving, pricing methodologies, and regulatory requirements. Proficiency in statistical analysis, data modeling, and analytical software such as Excel, SQL, R, Python, SAS, or similar tools. Strong quantitative, analytical, and critical thinking skills. Ability to interpret complex data and communicate findings clearly to technical and non-technical stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Ability to manage multiple analytical projects while meeting deadlines. Strong written and verbal communication skills. Commitment to ethical standards, professional integrity, continuous learning, and high-quality analytical work. Ability to work independently and collaboratively within multidisciplinary teams.

Senior Manager – Strategic Planning<br>Our client is a leading financial services organisation undergoing an ambitious transformation programme. They are seeking a Senior Manager – Strategic Planning to help shape enterprise strategy, drive execution of strategic priorities and support executive leadership in delivering long-term business objectives.<br>This is a highly visible role, working closely with senior stakeholders to influence strategic direction and ensure successful delivery of key initiatives across the organisation.<br>Key Responsibilities Lead the development and evolution of the organisation's corporate strategy and long-term strategic roadmap. Conduct market, competitor and macroeconomic analysis to identify growth opportunities and strategic priorities. Develop strategic frameworks, performance measures and executive-level reporting for senior leadership. Produce high-quality presentations, board papers and strategic recommendations to support executive decision making. Establish and oversee governance frameworks to ensure effective execution of strategic initiatives. Monitor strategic programmes, KPIs, risks and interdependencies, ensuring initiatives remain aligned to business objectives. Partner with business leaders to translate strategy into operational execution and measurable outcomes. Facilitate quarterly and annual strategic performance reviews for executive leadership. Manage relationships with external consulting partners, ensuring engagements deliver commercial value and actionable recommendations. Evaluate consulting proposals, oversee project delivery and ensure knowledge transfer into the organisation. Promote best practice strategic planning methodologies and continuous improvement across the business.<br>Required Experience Bachelor's degree in Business, Finance, Economics or a related discipline. MBA or equivalent postgraduate qualification preferred. Approximately 10+ years' professional experience, including significant experience within corporate strategy, strategic planning or enterprise transformation. Experience within the financial services sector is essential. Demonstrated success developing and executing enterprise-wide strategic initiatives. Strong experience engaging with executive leadership and preparing board-level presentations. Previous experience working with, or managing, external consulting firms is highly desirable. Experience operating within complex, matrix organisations.<br>48/52k AED per month

Role: Business Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Management consultant to work on a contract basis. The role involves analyzing business processes, identifying inefficiencies, and recommending strategic improvements to enhance operational performance and profitability. Candidates will collaborate with cross-functional teams to implement data-driven solutions tailored to client-specific challenges.<br>Key Responsibilities:• Diagnose operational bottlenecks and inefficiencies in client organizations through data analysis and stakeholder interviews.• Develop and present actionable recommendations to senior leadership, aligning solutions with business objectives and industry best practices.• Lead the design and implementation of process improvements, including workflow redesign, automation opportunities, and performance metrics.• Conduct market and competitive analysis to inform strategic decision-making and identify growth opportunities for clients.• Document findings in clear, structured reports and presentations for executive audiences, ensuring measurable impact.<br>Required Skills & Qualifications:• Experience in management consulting with a focus on process optimization and operational efficiency.• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) to derive insights from client datasets.• Strong project management skills with the ability to manage multiple engagements simultaneously.• Excellent communication and presentation skills to articulate complex ideas to non-technical stakeholders.• A Bachelor’s degree in Business Administration, Finance, Economics, or a related field; MBA or advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the transformation of client organizations through evidence-based strategies. The position requires adaptability to diverse industries and the ability to deliver measurable results within tight deadlines.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<ul><li><p>Develop business cases, feasibility studies, financial analyses and investment proposals to support strategic decision making </p></li><li><p>Identify, evaluate, and recommend new business opportunities, strategic partnerships, services and expansion initiatives aligned with Rafid’s strategic objectives </p></li><li><p>Develop financial models, cost benefit analyses, ROI assessments and business forecasts for proposed initiatives.</p></li><li><p>Support continuous improvement by identifying process enhancement opportunities and recommending innovative solutions that improve operational efficiency and commercial performance</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Business Administration, Strategic Management, Economics, Industrial Engineering, Finance, Marketing, or a related discipline.</p></li><li><p>A Master’s degree (MBA or equivalent) is preferred.</p></li><li><p>Required years of experience, preferably <strong>5–7 years</strong> in business planning, strategy, consulting, investment analysis, or corporate development.</p></li><li><p>Advanced proficiency in <strong>financial modelling, Excel, PowerPoint, market research, and data analysis</strong>.</p></li><li><p>Experience presenting business cases and recommendations to senior management.</p></li><li><p>Knowledge of the UAE automotive, mobility, government services, or related sectors as an advantage.</p></li></ul>

Hiring: Finance Director (United Arab Emirates) We are currently seeking an experienced and strategic Finance Director to lead our finance function in the United Arab Emirates. Position:Finance Director Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Lead and oversee all financial operations, accounting, budgeting, and financial planning activities Develop and execute financial strategies aligned with business objectives Prepare and present financial reports, forecasts, and performance analyses to executive leadership Manage cash flow, investments, financial controls, and risk management processes Ensure compliance with financial regulations, accounting standards, and corporate governance requirements Oversee budgeting, forecasting, and long-term financial planning initiatives Support mergers, acquisitions, business expansion, and strategic investment decisions Lead, mentor, and develop finance and accounting teams to achieve organizational goals Requirements:Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field CPA, ACCA, CMA, CFA, or equivalent professional qualification preferred Proven experience in senior finance leadership roles such as Finance Director, Head of Finance, Financial Controller, or Finance Manager Strong knowledge of financial reporting, budgeting, forecasting, treasury management, and risk management Experience with ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar platforms Excellent leadership, strategic planning, analytical, and decision-making skills Strong communication and stakeholder management abilities Benefits:Competitive executive salary package Performance-based bonuses and incentives Health and insurance benefits Professional development and executive leadership opportunities Exposure to regional and international business operations Career growth within a dynamic organization Collaborative and high-performance work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help drive financial excellence, strategic growth, and long-term business success through strong leadership and sound financial management!