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Remote AI & Data Training Jobs in Djibouti 2026
1663 remote jobs open to candidates in Djibouti in AI & Data Training. Updated daily.
Rise Data Labs is seeking experienced finance professionals for a short-term AI training and evaluation project. We're looking for professionals with strong real-world finance expertise who can apply their knowledge and judgment to develop challenging finance tasks, evaluate…
This is a remote, project-based role for optics and photonics professionals with 1+ years of hands-on experience modeling optical, photonic, or electromagnetic systems.
Review contract negotiation redlines and assess whether they reflect what competent counsel would actually do. Remote, flexible, paid per task.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
Join our global AI Community as a Bioinformatics AI Expert specializing in advanced benchmark dataset creation and AI model evaluation.
As a Czech Speech & Audio AI Specialist in our Global AI Community, you evaluate and validate speech AI systems—ensuring machine-generated voices sound natural, speech recognition captures intent accurately, and voice AI models learn from high-quality datasets.
Rise Data Labs is seeking advanced Physics and Chemistry experts to support the training and evaluation of state-of-the-art AI systems.
Rise Data Labs is seeking advanced Biology and Life Sciences experts to support the training and evaluation of state-of-the-art AI systems.
Rise Data Labs is seeking advanced Mathematics and Statistics experts to support the training and evaluation of state-of-the-art AI systems.
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. We're looking for music professionals with formal music education and hands on experience in performance, production, or audio engineering to help evaluate and improve AI generated audio data. Flexible hours across a 2 day project window. Earn up to roughly $150 $160 with a full push across both days. Around 15 min
Turing is one of the world's fastest growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing works with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge. In this role you will work on projects that help fine tune large language models using your strong analytical and English comprehension skills. The ideal candidate can read, su
Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high quality training data, evaluations, and engineering talent. We are staffing a frontier AI data initiative building the infrastructure and training data used to develop and evaluate AI agents. You will be assigned to one of two tracks: connectors or tasks. We are looking for experienced Python Engineers to work with leading AI research labs on evaluating an
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. We are seeking a highly analytical and computationally proficient individual with a strong research background. You will craft challenging and insightful problems in your research domain and devise elegant computational solutions. Quantitative problem design and solutioning Develop and conceptualize original, resea
Turing is one of the world's fastest growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing works with the world's leading AI labs to advance frontier model capabilities, and leverages that work to build real world AI systems that solve mission critical priorities for companies. We are seeking experienced Financial and Investment Analysts to help train advanced AI systems. You will create, evaluate, and refine realistic tasks involving financial modeling
Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. We are looking for experienced and detail oriented CUA Data Annotation Trainers to support a high impact AI training and data annotation initiative. The ideal candidate has hands on
Workada produces high-quality labeled data for advanced technology systems. Our team builds, reviews, evaluates, and quality-checks financial work and related content so those systems can better understand finance and handle real-world analytical tasks.
Find real vulnerabilities in private repositories and turn them into difficulty-probed cybersecurity tasks for frontier LLMs. Project Fenrir contributors earn per in-band approved task, per qualifying repo, plus referral and milestone bonuses.
This project focuses on evaluating how well AI assistants can provide helpful, personalized conversation experiences using information available through connected digital services and prior activity.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Job Description This is a remote, project based role for insurance policy professionals with 1 to 3 years of professional experience.
Job Description This is a remote, project based role for supply chain professionals with 1 to 3 years of professional experience.
This is a remote, project based role for construction professionals with 1 to 3 years of professional experience. You will complete tasks spanning construction planning, document review, field problem solving, and technical evaluation across a variety of project types and…
Current open-source source separation models (HTDemucs, Open-Unmix, MDX-Net, RS-RoFormer family) separate mixtures into only 4–6 stems.