Job Overview
Location
Argentina - 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 with clear, step-by-step reasoning that demonstrates rigorous physical principles and mathematical derivation
- • Create problems that test deep multi-step physical reasoning, avoiding reliance on memorization or superficial pattern recognition
- • 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, 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 labs
- • Collaborate with interdisciplinary teams to align problem complexity and structure with AI evaluation benchmarks
- • Maintain strict adherence to technical accuracy and consistency across all submitted materials
- • Document the underlying physics concepts, assumptions, and numerical methods used in each problem to enable auditability and reproducibility
- • Adapt problem difficulty to challenge state-of-the-art AI systems without introducing ambiguity or multiple valid interpretations
- • Review and refine existing problems based on feedback from AI model performance and evaluation metrics
- • Deliver all deliverables on schedule within a 2-month contract period, with potential for extension based on performance and project needs
- • Work independently with minimal supervision while maintaining high standards of technical rigor and clarity
- • Ensure all outputs are structured for seamless integration into automated AI training and evaluation systems
- • Focus on domains requiring analytical depth, such as classical mechanics, electromagnetism, thermodynamics, quantum phenomena, or statistical physics
- • Avoid oversimplification; problems must reflect authentic research or engineering workflows in physics
- • Maintain meticulous records of problem sources, derivations, and validation steps to support quality assurance
🎯 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, 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-world physics workflows
- • Excellent technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract/part-time role with flexibility to work 20 to 40 hours per week
- • Fully remote position based in Argentina
- • Potential for contract extension beyond the initial 2-month project duration
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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