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Job Description<br><br>Job Title: Mathematics 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 Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math 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 mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation 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 mathematics 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 mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, 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 Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical 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, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning 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 math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, 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 mathematics 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 mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

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: 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: Mathematics 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 Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math 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 mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation 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 mathematics 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 mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, 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 Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical 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, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning 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 math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, 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 mathematics 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 mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>SearchPlus HR is seeking a highly experienced Consultant Acute Medicine (Western Qualified) on behalf of a leading healthcare facility in the UAE.<br> This is an exciting opportunity to join a renowned healthcare organization committed to delivering high-quality, patient-centered care.<br> The successful candidate will be responsible for the rapid assessment, diagnosis, stabilization, and management of adult patients presenting with acute medical conditions, ensuring timely intervention and seamless coordination of care within a multidisciplinary team.<br> Highly competitive tax-free salary.<br> Performance-based incentives.<br> Comprehensive medical insurance.<br> Annual paid leave.<br> Annual return airfare.<br> End-of-service benefits as per UAE Labour Law.<br> Continuing Medical Education (CME) support.<br> Professional development and career advancement opportunities.<br> Visa and licensing assistance (where applicable).<br> Opportunity to work with one of the UAE's leading healthcare providers in a modern, fast-paced acute care environment with access to advanced medical technologies and a collaborative multidisciplinary team.<br> Medical Degree (MBBS/MD or equivalent).<br> Western Board Certification in Acute Internal Medicine, Acute Medicine, or General Internal Medicine with Acute Medicine experience (American Board, UK CCT, Canadian, Australian, Irish, or equivalent recognized qualification).<br> Minimum 5 years of post-board certification experience as a Consultant in Acute Medicine.<br> Eligibility for DHA, DOH, or MOH Consultant License (or currently licensed in the UAE).<br> Strong expertise in managing complex acute medical conditions and medical emergencies.<br> Experience working in Acute Medical Units (AMU), Emergency Departments, or tertiary care hospitals is highly preferred.<br> Excellent leadership, communication, clinical decision-making, and multidisciplinary collaboration skills.<br> Commitment to evidence-based practice and delivering high-quality patient care.<br> Previous experience in a JCI-accredited or internationally recognized healthcare facility is highly desirable.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>SearchPlus HR is seeking a highly qualified Consultant Anesthesiologist to join a leading healthcare provider in the UAE.<br> The successful candidate will be responsible for delivering safe, high-quality anesthesia care across a wide range of surgical and diagnostic procedures while ensuring optimal perioperative patient management.<br> The role offers the opportunity to work in a state-of-the-art healthcare environment alongside multidisciplinary clinical teams committed to excellence in patient care.<br> This opportunity is ideal for an experienced consultant holding UK CCT or an equivalent internationally recognized Board Certification in Anesthesiology.<br> Highly competitive tax-free salary.<br> Performance-based incentives.<br> Comprehensive health insurance.<br> Annual airfare allowance.<br> Generous annual paid leave.<br> End-of-service benefits in accordance with UAE Labour Law.<br> Continuing Medical Education (CME) support.<br> Professional licensing assistance.<br> Relocation assistance (where applicable).<br> Opportunity to work in a state-of-the-art healthcare facility.<br> Collaborative and multicultural work environment.<br> Career growth and professional development opportunities.<br> Medical degree (MBBS or equivalent) from a recognized institution.<br> Completion of specialist training in Anesthesiology .<br> UK CCT in Anesthesiology or an equivalent internationally recognized Board Certification (American Board, Canadian, Australian, Irish, New Zealand, or other recognized qualifications).<br> Eligibility for or possession of the relevant UAE health authority license (DHA, DOH, or MOH, depending on the location).<br> Minimum of 5 years of post-CCT/Board Certification experience as a Consultant Anesthesiologist.<br> Expertise in general, regional, and pediatric anesthesia, cardiac anesthesia, obstetric anesthesia, or critical care is an advantage.<br> Strong clinical judgment, crisis management, and airway management skills.<br> Excellent communication, leadership, and multidisciplinary collaboration abilities.<br> Commitment to evidence-based practice and patient safety.<br></span> </div>

Role Description The Industrial Automation Specialist is a part-time remote role responsible for designing, implementing, and optimizing automation solutions that support Infomet’s financial control and data-driven services. This role involves analyzing existing processes, identifying automation opportunities, and configuring tools or workflows to improve efficiency and reliability. The specialist will develop and execute test cases, perform troubleshooting, and ensure quality assurance standards are met for automated systems and integrations. Daily tasks include collaborating with finance and technology teams, documenting automation workflows, monitoring system performance, and proposing improvements that enhance stability and scalability. Qualifications Candidates should possess strong Process Automation and Automation skills, including designing, implementing, and maintaining automated workflows. Candidates should possess solid Troubleshooting abilities to diagnose issues, resolve system failures, and optimize automation performance. Candidates should possess experience with Test Cases and Quality Assurance to validate automation logic, ensure reliability, and maintain documentation. Relevant experience with industrial automation tools, scripting or low-code platforms, and integration between systems (e.g., ERP, accounting, or data platforms) is beneficial. A background in engineering, computer science, industrial automation, or a related technical field, with strong analytical and problem-solving skills, is preferred. Ability to work independently in a remote setting, communicate clearly with cross-functional teams, and manage part-time workloads effectively. Familiarity with financial processes, data pipelines, or business intelligence environments is a plus.

About the Company<br>Aspire Manpower Services is hiring experienced Marine Technicians for one of our prestigious clients in Abu Dhabi. We are looking for skilled professionals with relevant experience in marine, shipyard, offshore, or heavy industrial environments. Multiple positions are available across various technical disciplines.<br>About the Role<br>We are seeking skilled professionals to fill various technical positions in the marine sector.<br>Positions<br>Blasting & Painting Technicians Electrical Technicians Piping Technicians Welding Technicians Mechanical Technicians Connectorization Technicians Fabrication Technicians Aluminium Welding Technicians Cable Termination Technicians<br>Qualifications<br>Relevant technical experience in the respective trade Experience in marine, shipyard, offshore, or industrial projects is preferred Relevant technical qualification or trade certification Ability to work in a fast-paced industrial environment Good knowledge of safety procedures and work practices Candidates available for immediate mobilization will be preferred<br>Required Skills<br>Relevant technical experience in the respective trade, experience in marine, shipyard, offshore, or industrial projects, relevant technical qualification or trade certification, ability to work in a fast-paced industrial environment, good knowledge of safety procedures and work practices.<br><br>Pay range and compensation package<br>Competitive salary, long-term project opportunities, career growth opportunities, professional working environment, opportunity to work with a leading Abu Dhabi-based organization, immediate mobilization for selected candidates.<br>Equal Opportunity Statement<br>Shortlisting is currently in progress. Interested candidates are requested to apply with their updated CV. Candidates who meet the requirements will be contacted for the next stage of the selection process. 300+ positions are available. Apply now!

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced strategy consultants from top firms (e.g. McKinsey, BCG, or Bain) who can help train their latest language model on professional presentation and slide deck tasks.<br><br>We're looking for strategy consultants with 3+ years at a top strategy firm (e.g. McKinsey, BCG, or Bain) to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: storyline development, executive summary writing, slide structuring, horizontal and vertical logic, data-driven exhibit design, and client-ready deck production.<br><br>Compensation: $100/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 3+ years as a strategy consultant at a top strategy firm (e.g. McKinsey, BCG, or Bain) Deep expertise in structured communication, storylining, and slide craftsmanship Expert-level Power Point and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>3+ years as a consultant at a top strategy firm (e.g. McKinsey, BCG, or Bain) Deep expertise in structured communication, storylining, and slide craftsmanship Expert-level Power Point and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced procurement and vendor management leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for procurement and vendor management leads with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced category managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for category managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced people partners who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for people partners with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced recruiters who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for recruiters with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced HR business partners who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for HR business partners with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced people operations managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for people operations managers with 4+ years running HR processes and hiring pipelines to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: job descriptions and interview scorecards, offer letters and compensation rationale, HR policy and handbook drafting, performance-review templates, candidate-feedback and rejection communications, and headcount and compensation-band trackers.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years as an HR generalist, recruiter, or people operations professional Direct ownership of writing job descriptions, offer letters, HR policy, or performance-review materials Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced strategic sourcing leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for strategic sourcing leads with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced supplier managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for supplier managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced vendor managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for vendor managers with 4+ years running sourcing and supplier-management processes to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: RFP and RFQ drafting, vendor-scoring and evaluation matrices, supplier-contract and SLA review, spend-analysis reports, vendor-risk assessments, and category strategy and savings-pipeline reviews.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAs Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years in procurement, sourcing, or vendor/supplier management Direct ownership of running RFPs/RFQs and negotiating or reviewing vendor contracts and SLAsExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><i>Full-Time | Hybrid (Dubai)</i></p><p><i>***Salary 1800aed - 2200aed (based on experience)</i></p><p><i>*** MUST BE BASED IN UAE/DUBAI</i></p><p>About the Role</p><p>We're looking for a creative, hands-on Content Creator to bring the Booch brand to life across social media. You'll be responsible for ideating, shooting, editing, and scheduling content that connects with our community and grows our presence across Instagram, TikTok, and beyond.</p><p>This is a hybrid role — expect time in our production facility, at events and markets, and working remotely on editing and scheduling.</p><p>What You'll Do</p><ul><li>Conceptualise and create short-form video and photo content for Instagram, TikTok, and LinkedIn</li><li>Edit content to a high standard using mobile and desktop editing tools</li><li>Write captions, hooks, and copy that align with the Booch brand voice</li><li>Plan and schedule content using our social media management platform (Sendible)</li><li>Stay across trends and translate them into relevant, on-brand content</li><li>Coordinate shoot days — including location, talent, props, and product</li><li>Collaborate with the founders on campaigns, product launches, and activations</li><li>Track basic content performance and flag what's working</li></ul><p>Why Booch</p><p>We're a fast-growing kombucha brand with real roots in the UAE — stocked in Spinneys, Union Co-op, and Kibsons, and expanding fast. You'll have genuine creative ownership from day one, not just executing someone else's brief.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Skills</p><ul><li>1–3 years of experience creating content for a business, agency, or personal brand.</li><li>Excellent photography and videography skills using a smartphone and/or camera.</li><li>Strong video editing skills using CapCut, Adobe Premiere Pro, Final Cut Pro, or similar editing software.</li><li>Experience creating Instagram Reels, TikTok videos, Stories, LinkedIn content, and short-form video.</li><li>A strong understanding of current social media trends and the ability to adapt them to suit the Booch brand.</li><li>Excellent written and spoken English with strong copywriting and communication skills.</li><li>Experience using social media scheduling and management platforms such as Sendible, Later, Buffer, Meta Business Suite, or similar.</li><li>A creative eye for composition, lighting, storytelling, and visual branding.</li><li>Ability to work independently, manage multiple projects, and meet deadlines.</li><li>Strong organisational skills with excellent attention to detail.</li><li>Confidence working with founders, customers, and team members during content shoots.</li><li>Experience covering live events, activations, and behind-the-scenes content is highly desirable.</li><li>Basic understanding of analytics and reporting to identify what content is performing well and how to improve it.</li><li>A genuine interest in health, fitness, food, lifestyle, or wellness brands.</li><li>Must be based in Dubai or willing to commute to Dubai Investment Park.</li><li>Must have a valid UAE driving licence and own reliable transport.</li></ul><p>Bonus Skills</p><ul><li>Graphic design experience using Canva or Adobe Creative Suite.</li><li>Experience with email marketing platforms such as Mailchimp or Klaviyo.</li><li>Experience writing blogs, newsletters, or website content.</li><li>Experience managing online communities and engaging with followers.</li><li>Knowledge of SEO and social media best practices.</li><li>Comfortable appearing on camera and interviewing customers, founders, and partners.</li><li>Experience working with FMCG, hospitality, food, beverage, or lifestyle brands.</li></ul><p><br></p></div>

We are looking for data Scientist for a three months maternity cover role based in Dubai. Below are the skills required -Minimum Experience and Knowledge:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.5–8 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI-driven product development. Strong proficiency in Python and SQL, with a solid understanding of machine learning algorithms and analytical techniques. Proven experience building, validating, and deploying predictive and prescriptive models to solve business problems. Hands-on experience with Azure Databricks, cloud-based analytics platforms, and large-scale data environments. Strong knowledge of statistical modeling, experimentation (A/B testing), forecasting, clustering, classification, recommendation systems, and model evaluation. Experience with Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered automation solutions is highly desirable. Experience translating business problems into scalable data science solutions and collaborating with cross-functional teams to deliver measurable business impact. Background in Retail, Customer Analytics, Digital Analytics, E-commerce, Loyalty, or CRM analytics is preferred. Excellent communication, stakeholder management, and data storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences. Strong problem-solving skills with the ability to balance technical excellence, business impact, and strategic thinking.