Job Overview
Location
Brazil
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 full reasoning process, step-by-step, for each problem created.
- • Create problems that test deep physical reasoning, multi-step analysis, and conceptual understanding—not rote memorization or formula application.
- • Use 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 training and evaluation pipelines at leading AI research labs.
- • Collaborate remotely to deliver problem sets that challenge state-of-the-art AI systems in core areas of theoretical, experimental, or computational physics.
- • Maintain rigorous standards for technical accuracy, logical consistency, and clarity in 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 outputs are free of ambiguity, mathematical errors, or unverified assumptions that could compromise AI training integrity.
- • Document assumptions, boundary conditions, and physical approximations used in problem design to enable reproducibility and model evaluation.
- • Prioritize clarity and precision in technical writing to ensure AI systems can reliably parse and solve problems as intended.
- • Contribute to iterative improvements in problem design based on feedback from AI evaluation results, where applicable.
🎯 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 physics workflows
- • Excellent attention to detail and technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Remote work arrangement
- • Contract/part-time engagement with flexible hours (20–40 hours per week)
- • 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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