Job Overview
Location
Chile
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 complete, verified solutions with clear, step-by-step reasoning that demonstrates rigorous physical principles and mathematical derivation
- • Create problems that test deep conceptual understanding, multi-step analysis, and real-world physics workflows—avoiding rote memorization or simplistic calculations
- • Utilize Python and scientific libraries (e.g., numpy, scipy) to build computational models, simulations, or numerical workflows where relevant to problem design
- • Ensure all problem statements, solutions, and documentation are technically precise, reproducible, and written in clear, professional English
- • Collaborate with AI training teams to align problem complexity and structure with the evaluation needs of state-of-the-art AI systems
- • Validate the correctness and uniqueness of solutions through independent verification and computational checks
- • Structure problems to challenge AI reasoning capabilities across core domains of physics, including classical mechanics, electromagnetism, thermodynamics, and quantum phenomena
- • Document all assumptions, boundary conditions, and solution methodologies to enable consistent reproduction and auditability
- • Maintain high standards of technical accuracy and clarity in all deliverables, ensuring alignment with academic and research-grade physics standards
- • Adapt problem difficulty and structure based on feedback from AI model performance and evaluation metrics
- • Contribute to the ongoing development of high-quality STEM training datasets used by leading AI laboratories to enhance technical reasoning in AI systems
- • Work independently within a remote, contract-based environment to meet project deadlines and deliverables on a part-time basis (20–40 hours per week)
- • Ensure all outputs are formatted consistently and meet technical specifications for integration into AI training pipelines
🎯 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/part-time engagement with flexibility in weekly hours (20–40 hours)
- • Project duration of 2 months with potential for extension
- • Remote work arrangement
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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