Job Overview
Location
France
Job Type
Part-time
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 complete reasoning process behind each answer
- • Create problems that test deep physical reasoning, multi-step analysis, and real-world application, avoiding reliance on memorization or superficial knowledge
- • Utilize Python and scientific libraries (e.g., numpy, scipy) to build computational models, simulations, 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 pipelines at leading AI research labs
- • Collaborate with internal teams to align problem complexity and structure with evaluation goals for state-of-the-art AI systems
- • Maintain rigorous standards for technical accuracy, logical consistency, and pedagogical depth in all submitted materials
- • Adapt problem designs to challenge current AI capabilities in theoretical, experimental, and computational physics domains
- • Document all assumptions, constraints, and numerical methods used in problem creation to ensure transparency and reproducibility
- • Deliver work on schedule within a 2-month contract period, with potential for extension based on performance and project needs
- • Work independently to produce high-volume, high-quality physics content under part-time commitment of 20–40 hours per week
- • Ensure all outputs meet exacting standards for clarity, correctness, and alignment with AI training objectives in technical reasoning
🎯 Requirements
- • Master’s or PhD in Physics or a closely related field
- • Strong research or industry experience in theoretical, experimental, or computational physics
- • Proficient in Python and scientific libraries such as numpy or scipy
- • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
- • Ability to design original, challenging physics problems that reflect authentic scientific workflows
- • Excellent 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 arrangement
- • Potential for contract extension beyond the initial 2-month project duration
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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