Job Overview
Location
Germany
Job Type
Contract
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
📋 Description
- • Design advanced, deterministic physics problems for training and evaluation of frontier AI models, ensuring each problem has exactly one verifiable correct answer.
- • Develop comprehensive, verified solutions that clearly document the full reasoning process, step-by-step, for each problem created.
- • Create problems that test deep physical reasoning and multi-step analytical skills, avoiding reliance on memorization or superficial knowledge.
- • Apply Python and scientific libraries (e.g., numpy, scipy) to build computational simulations, models, or workflows where relevant to problem design.
- • Ensure all problem statements, solutions, and documentation are technically precise, reproducible, and written in clear, professional English.
- • Contribute to high-quality STEM training datasets used directly in AI model training and evaluation pipelines at leading AI research labs.
- • Collaborate remotely to meet project deadlines within a 2-month contract window, with potential for extension based on performance.
- • Maintain rigorous standards for technical accuracy, logical consistency, and clarity in all deliverables.
- • Structure problems to reflect authentic physics workflows, including real-world constraints, approximations, and analytical techniques.
- • Validate all solutions independently to guarantee correctness and eliminate ambiguity or multiple possible answers.
- • Adapt problem complexity to challenge state-of-the-art AI systems without introducing non-physical or ill-defined conditions.
- • Document all assumptions, methodologies, and computational steps used in problem creation to enable reproducibility by other experts.
- • Work independently with minimal supervision while adhering to strict quality control protocols for AI training data.
- • Deliver consistent, high-fidelity outputs on a part-time basis (20–40 hours per week) with immediate availability.
🎯 Requirements
- • Bachelor's, Master’s, or PhD in Physics or a closely related field
- • Strong research or industry experience in theoretical, experimental, or computational physics
- • Strong Python skills with comfort using scientific libraries such as numpy, scipy, or similar
- • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
- • Ability to design original, difficult physics problems that reflect real physics workflows
- • Excellent attention to detail and technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract-based, part-time engagement (20–40 hours per week)
- • Remote work with flexible scheduling within the 2-month project window
- • Potential for project extension based on performance
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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