
Job Overview
Location
Spain
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 logical reasoning and mathematical steps required to reach the correct outcome.
- • 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.
- • Contribute to the creation of high-quality STEM training data used directly in AI model training pipelines at leading AI research labs.
- • Collaborate remotely to deliver problem sets that challenge state-of-the-art AI systems in theoretical, experimental, or computational physics domains.
- • Maintain rigorous standards for technical accuracy, consistency, and clarity across all submitted materials.
- • Adapt problem complexity to target specific reasoning gaps in AI models, focusing on real-world physics workflows and non-trivial edge cases.
- • Submit deliverables on schedule within a 2-month contract period, with potential for extension based on performance and project needs.
- • Work independently to produce original, challenging content that reflects authentic physics research and problem-solving practices.
- • Ensure all computational workflows, if used, are well-documented, executable, and produce deterministic results.
- • Review and refine problem sets based on internal feedback to maximize technical rigor and AI evaluation utility.
🎯 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 with experience using 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 physics workflows
- • Excellent technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract/part-time arrangement with flexibility between 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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