Job Overview
Location
Mexico - Fully Remote
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, emphasizing logical progression and physical principles
- • Create problems that test deep multi-step physical reasoning, avoiding reliance on memorization or superficial pattern recognition
- • Apply computational methods using Python and scientific libraries (e.g., numpy, scipy) to build simulations, models, or computational 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 laboratories
- • Focus on domains requiring rigorous analytical thinking, such as classical mechanics, electromagnetism, thermodynamics, or quantum phenomena
- • Validate the correctness and uniqueness of solutions through independent verification and computational consistency checks
- • Collaborate remotely with a distributed team of STEM experts to align problem difficulty and technical scope with AI evaluation benchmarks
- • Maintain strict adherence to formatting and structural standards for problem submission, including clear labeling of variables, units, assumptions, and constraints
- • Adapt problem complexity to challenge state-of-the-art AI systems without introducing ambiguity, non-determinism, or subjective interpretation
- • Document all assumptions, approximations, and numerical tolerances used in computational components to ensure reproducibility across environments
- • Deliver consistent, high-fidelity outputs within tight deadlines across a 2-month contract period, with potential for extension based on performance
- • Work independently with minimal supervision while maintaining clear communication of progress, challenges, and deliverables
🎯 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 in physics
- • 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 of 20 to 40 hours per week
- • Fully remote work arrangement
- • 2-month project duration 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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