Job Overview
Location
Sweden
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 result.
- • Create problems that test deep physical reasoning, multi-step analysis, and conceptual understanding—avoiding reliance on memorization or rote application of formulas.
- • Use Python and scientific libraries (e.g., numpy, scipy) to build computational models, simulations, or workflows where relevant to problem generation.
- • Ensure all problem statements, solutions, and documentation are technically precise, reproducible, and written in clear, professional English.
- • Collaborate with AI training teams to align problem difficulty and structure with the evaluation needs of state-of-the-art AI systems.
- • Focus on domains requiring rigorous mathematical modeling, such as classical mechanics, electromagnetism, thermodynamics, quantum mechanics, or statistical physics.
- • Validate that solutions are numerically stable, logically consistent, and free of ambiguities or multiple interpretations.
- • Maintain high standards of technical accuracy and pedagogical integrity in all submitted materials.
- • Adapt problem complexity to challenge current AI systems without introducing non-physical assumptions or unrealistic constraints.
- • Document assumptions, boundary conditions, and physical approximations used in each problem to ensure transparency and reproducibility.
- • Deliver all outputs on schedule within a 2-month contract period, with potential for extension based on performance and project needs.
- • Work remotely with flexible hours between 20 and 40 hours per week, coordinating asynchronously with a global AI research team.
- • Contribute to building a high-quality STEM training dataset used directly by leading AI laboratories to improve model reasoning in technical domains.
🎯 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, difficult physics problems that reflect real-world 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 with flexible scheduling
- • Opportunity for contract 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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