Job Overview
Location
Peru - 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 evaluating 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 solution.
- • 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 such as numpy and scipy to build computational models, simulations, or workflows that support problem generation and validation.
- • Ensure all problem statements, solutions, and documentation are technically precise, reproducible, and written in clear, professional English.
- • Collaborate with the AI training team to align problem difficulty and content with the goals of improving AI reasoning in technical domains.
- • Contribute to the development of high-quality STEM training data used directly in training pipelines at leading AI laboratories.
- • Maintain rigorous standards for accuracy, consistency, and clarity across all submitted materials.
- • Adapt problem complexity to challenge state-of-the-art AI systems without introducing ambiguity or multiple valid solutions.
- • Review and refine existing problems based on feedback from AI evaluation results to enhance model performance in physics reasoning tasks.
- • Work independently within a remote, contract-based structure, managing time effectively to meet project milestones within a 2-month timeframe.
- • Potentially extend engagement beyond the initial project duration based on performance and ongoing data needs.
- • Apply expertise in theoretical, experimental, or computational physics to generate novel problems that reflect authentic research and engineering workflows.
- • Ensure all computational outputs are well-documented, executable, and verifiable by third parties.
- • Communicate technical concepts with precision and clarity, avoiding jargon unless necessary and always defining it when used.
🎯 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
- • Contract / part-time engagement with flexibility to work 20 to 40 hours per week
- • Fully 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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