Job Overview
Location
Italy
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 complete, verified solutions for all problems, clearly documenting the full reasoning process from first principles to final answer.
- • Create problems that test deep physical reasoning, multi-step analysis, and conceptual understanding—avoiding reliance on memorization or superficial pattern recognition.
- • Build computational workflows using Python and scientific libraries (e.g., numpy, scipy) to simulate physical systems, validate solutions, or generate numerical data where applicable.
- • 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 for a 2-month contract, with potential for extension based on performance and need.
- • Maintain rigorous standards for technical accuracy, logical consistency, and pedagogical depth in all submitted materials.
- • Apply expertise in theoretical, experimental, or computational physics to design problems that reflect authentic research and engineering workflows.
- • Use domain-specific knowledge to identify gaps in current AI reasoning capabilities and design challenges that expose those limitations.
- • Ensure all outputs are structured for seamless integration into AI training and evaluation systems, with unambiguous formatting and metadata.
- • Work independently with minimal supervision while adhering to strict quality control protocols for technical content.
- • Communicate clearly and concisely in written form, with no ambiguity in problem statements or solution derivations.
- • Adapt problem complexity to target state-of-the-art AI systems, ensuring challenges are neither trivial nor unsolvable within known physics frameworks.
- • Review and refine previously submitted problems based on feedback to improve technical fidelity and alignment with AI evaluation goals.
🎯 Requirements
- • 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-world physics workflows
- • Excellent attention to detail and technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract / part-time engagement (20 to 40 hours per week)
- • Remote work arrangement
- • Project duration of 2 months with potential for extension
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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