Your AI career in the UAE starts here

Position: Head of AI & Robotics Business CompanyLocation: UAEReporting to: CEO  About the RoleWe are launching a new AI & Robotics business unit and are seeking an entrepreneurial leader to build the venture from the ground up — from business model and supplier network to team and first revenues. Key Responsibilities-       Establish and lead a new AI & Robotics business company.-       Define the business model and go-to-market strategy.-       Build strategic partnerships with international suppliers & clients.-       Recruit and lead the core start-up team.-       Drive first sales and commercial traction. Requirements-       8+ years of experience in start-ups, new ventures, or innovation-driven businesses.-       Strong exposure to AI, robotics, automation, or tech-enabled trading.-       Proven ability to build teams and launch new products and services.-       Entrepreneurial mindset with strong leadership and execution skills. CompensationSalary: AED 18,000 – 25,000 per month (based on experience).Performance Bonus: Linked to achievement of strategic and sales targets.Profit Commission: Percentage-based commission on net profits generated by the business unit, subject to agreed KPIs and profitability thresholds. What We OfferOpportunity to build a new venture inside a growing group.Clear growth path to lead the AI & Robotics division long-term. Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office Show more Show less

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.Job PurposeWe are seeking a highly skilled AI/ML Engineer with expertise in Data Science to design, implement, and deliver advanced AI-driven solutions for the Oil & Gas and Petrochemical industries. The ideal candidate will possess strong technical skills in Python, machine learning, and data analytics, combined with the ability to collaborate with cross-functional teams and engage with customers to solve complex business challenges. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit / Solution Division in developing a differentiation in a high-growth competitive environment in Yokogawa Middle East & Africa region.Key Responsibilities & AccountabilitiesImplement AI/ML solutions using Python and perform data analysis in collaboration with CoE solution architects with Oil & Gas domain expertise.Conduct technical analysis leveraging AI/ML technologies and Data Science skills, including gathering requirements, performing gap analysis, and identifying opportunities to apply AI/ML to solve customer challenges.Provide guidance on suitable AI/ML and data analytics solutions, and support business portfolio management, solution design, and demonstrations.Ensure client expectations are clearly understood and met through the application of AI/ML and Data Science solutions.Manage the timely and high-quality completion of assigned deliverables.Ensure adherence to AI/ML and Data Science best practices and methodologies throughout project execution.Offer expert knowledge and experience to estimate the technical effort required for implementing complex AI solutions.Qualification And ExperienceBachelor’s degree in Engineering or Computer Science with a focus on AI/ML/Data Science, plus a minimum of 2 years of industry experience in AI-based software development or related engineering disciplines.Willingness and ability to travel across the Yokogawa Middle East & Africa region.SkillsStrong communication skills, collaborative mindset, and ability to energize and work effectively within a team.Proficiency in Python programming with demonstrated experience in implementing AI/ML solutions.Solid understanding of machine learning concepts (e.g., Supervised, Unsupervised Learning, Reinforcement Learning, Large Language Models) and hands-on experience applying algorithms such as Linear Regression, K-Means, Support Vector Machines, XGBoost, etc in Python.Comprehensive knowledge of Data Science, including statistical analysis, machine learning, and data visualization techniques.Experience with cloud-based machine learning platforms (e.g., Azure ML Studio, AWS SageMaker) is a plus.Familiarity with Oil & Gas, Petrochemicals, or specialized chemical domains is an advantage.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process! Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. Show more Show less

Job DescriptionRadiology Department at the College of Medicine and Health Sciences of the United Arab Emirates University (UAEU) is announcing the position of a research assistant in clinical research and, in particular, medical imaging. The research is to perform diagnostic and predictive models of various diseases by applying conventional and deep learning approaches to demographic, environmental and multimodal medical data. Tasks to accomplish: perform manual segmentation of medical images; critically appraisal research findings; describe and justify results of statistical analysis, discuss study results with recent literature.Minimum QualificationMS/PhD degree in relevant sphere of studies will be of advantage basic knowledge of medical and biological statistics, - good writing skills in Academic English, - experience in conducting medical and/or biological studies,Preferred QualificationAs aboveExpected SkillsCommunicate effectively with health care professionals * Communicate fluently in English language * Preparing Health care / hospital statisticsSalary Range5000 - 6000 based on Qualification and ExperienceClose Date Kindly apply before the closing date.28/03/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less