
Job Overview
Location
Germany
Job Type
Contract
Category
Software Engineering
Date Posted
June 24, 2026
Full Job Description
📋 Description
- • This role involves creating high-quality, deterministic chemistry problems for training and evaluating frontier AI models, directly contributing to the advancement of AI systems in scientific reasoning.
- • Day-to-day responsibilities include designing advanced chemistry problems with exactly one verifiable correct answer, developing computationally grounded tasks using Python and domain-specific tools, ensuring reproducibility and technical precision, and writing clear, rigorous technical explanations in English.
- • The team at Anyone AI Inc. focuses on producing elite STEM training data for leading AI labs, working at the intersection of chemistry and artificial intelligence to push the boundaries of model capabilities.
- • In this role, you will deepen your expertise in applying chemistry to AI evaluation, strengthen your technical problem-design skills, gain experience in creating evaluation content for state-of-the-art models, and contribute to projects that may be extended beyond the initial 2-month contract.
🎯 Requirements
- • Master’s or PhD in Chemistry or a related field
- • Research or industry experience involving computational or quantitative chemistry workflows
- • Strong Python skills; familiarity with scientific libraries
- • Strong understanding of modeling, numerical approaches, and chemical reasoning
- • Ability to design original, difficult problems that go beyond textbook recall
- • Excellent attention to detail and clear technical writing
🏖️ Benefits
- • Remote work arrangement
- • Part-time commitment of 10-20 hours per week
- • Compensation of up to 40 USD per hour
- • Project duration of 2 months with potential for extension
- • Opportunity to contribute to AI training data used by leading AI labs
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Anyone AI Inc.
Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.
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