Job Overview
Location
Denmark
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 comprehensive, verified solutions that clearly document the complete reasoning process behind each answer
- • Create problems that test deep physical reasoning, multi-step analysis, and real-world application—avoiding reliance on memorization or superficial knowledge
- • Apply 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 training and evaluation pipelines at leading AI laboratories
- • Collaborate remotely to deliver structured, rigorous content that challenges state-of-the-art AI systems in technical reasoning domains
- • Maintain strict adherence to scientific accuracy and pedagogical integrity in all submitted materials
- • Work within a 20–40 hour per week contract schedule over a 2-month project period, with potential for extension based on performance and need
- • Submit work that reflects authentic physics workflows, including analytical derivation, numerical computation, and physical interpretation
- • Ensure all outputs are free of ambiguity, logically consistent, and aligned with established physics principles at graduate-level or higher
- • Document assumptions, boundary conditions, and solution methodologies with clarity to enable reproducibility by other experts
- • Adapt problem complexity to target the limits of current AI reasoning capabilities in physics domains
- • Maintain consistent quality across all deliverables, with meticulous attention to units, notation, and mathematical rigor
- • Communicate effectively with the team to clarify problem intent, solution pathways, and evaluation criteria
🎯 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
- • 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 arrangement with flexibility between 20–40 hours per week
- • Remote work with no location restrictions within Denmark
- • 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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