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Job Overview
Location
Colombia - Fully Remote
Job Type
Part-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ 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 step-by-step reasoning process to ensure technical reproducibility.
- • Create problems that test deep physical reasoning, multi-step analysis, and real-world application of physics principles—avoiding reliance on memorization or rote calculation.
- • Utilize 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, logically consistent, 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.
- • Maintain rigorous standards for problem validity, numerical accuracy, and conceptual depth to challenge state-of-the-art AI systems.
- • Collaborate asynchronously with a global team to align problem difficulty, scope, and technical scope with project goals.
- • Deliver outputs on schedule within a 2-month contract period, with potential for extension based on performance and project needs.
- • Work independently to manage workload across 20 to 40 hours per week, balancing problem creation, solution verification, and documentation.
- • Apply expertise in theoretical, experimental, or computational physics to generate original problems reflective of authentic research and engineering workflows.
- • Ensure all submitted materials are free of ambiguity, errors, or inconsistencies that could compromise AI model training or evaluation outcomes.
- • Adapt problem complexity to target specific reasoning gaps in AI models, focusing on areas where current systems struggle with physical intuition or multi-variable analysis.
🎯 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 or scipy
- • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
- • Excellent attention to detail and technical writing skills in English
- • Ability to design original, difficult physics problems that reflect real-world physics workflows
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract/part-time role with flexible hours (20–40 hours per week)
- • Fully remote work arrangement
- • Potential for contract extension beyond the initial 2-month project period
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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