Job Overview
Location
Ecuador - 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 evaluation of frontier AI models, ensuring each problem has exactly one verifiable correct answer.
- • Develop comprehensive, verified solutions that clearly document the complete reasoning process, step-by-step, for each problem created.
- • Create problems that test deep physical reasoning, multi-step analysis, and conceptual understanding—avoiding reliance on memorization or rote application of formulas.
- • Use Python and scientific libraries (e.g., numpy, scipy) to build computational models, simulations, or workflows where relevant to generate or validate problem outputs.
- • 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.
- • Maintain rigorous standards for technical accuracy, consistency, and clarity across all submitted materials.
- • Collaborate remotely with a distributed team to align on problem design standards, solution verification protocols, and dataset quality benchmarks.
- • Adapt problem complexity to challenge state-of-the-art AI systems without introducing ambiguity, ambiguity in boundary conditions, or multiple valid interpretations.
- • Document assumptions, constraints, and physical principles underlying each problem to enable reproducibility and auditability by AI researchers.
- • Review and refine existing problems based on feedback from internal evaluation teams to improve model performance and dataset reliability.
- • Deliver consistent, high-volume outputs within project timelines, maintaining quality across 20–40 hours of work per week.
- • Ensure all deliverables meet the technical and linguistic standards required for integration into AI training pipelines used by top-tier AI laboratories.
🎯 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-world 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 20–40 hours per week
- • Project duration of 2 months with potential for extension
- • Fully 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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