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Physics - AI Training Expert (Estonia)

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<ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Location:</strong> Remote</p></li><li><p style="min-height:1.5em"><strong>Type:</strong> Contract / Part-time</p></li><li><p style="min-height:1.5em"><strong>Commitment:</strong> 20 to 40 hours per week</p></li><li><p style="min-height:1.5em"><strong>Compensation:</strong> Up to 40 USD / hr</p></li><li><p style="min-height:1.5em"><strong>Project duration:</strong> 2 months, with potential extension</p></li><li><p style="min-height:1.5em"><strong>Availability:</strong> Immediate start</p></li></ul><p style="min-height:1.5em"></p><h2><strong>About the role</strong></h2><p style="min-height:1.5em">We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.</p><p style="min-height:1.5em">We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.</p><p style="min-height:1.5em"></p><h2><strong>What you’ll do</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design advanced physics problems for frontier AI training and evaluation</p></li><li><p style="min-height:1.5em">Create deterministic problems with exactly one correct answer</p></li><li><p style="min-height:1.5em">Write complete, verified solutions and clearly document the reasoning process</p></li><li><p style="min-height:1.5em">Develop problems that test deep physical reasoning and multi-step analysis, not just memorization</p></li><li><p style="min-height:1.5em">Where relevant, use Python or specialized tools to build simulations, models, or computational workflows</p></li><li><p style="min-height:1.5em">Ensure all outputs are technically precise, reproducible, and well-written in English</p></li></ul><p style="min-height:1.5em"></p><h2><strong>What we’re looking for</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Bachelor's, Master’s, or PhD in Physics or a closely related field</p></li><li><p style="min-height:1.5em">Strong research or industry experience involving theoretical, experimental, or computational physics</p></li><li><p style="min-height:1.5em">Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar</p></li><li><p style="min-height:1.5em">Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving</p></li><li><p style="min-height:1.5em">Ability to design original, difficult problems that reflect real physics workflows</p></li><li><p style="min-height:1.5em">Excellent attention to detail and technical writing skills in English</p></li></ul><p style="min-height:1.5em"></p><h2><strong>Nice to have</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)</p></li><li><p style="min-height:1.5em">Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields</p></li><li><p style="min-height:1.5em">Experience evaluating model reasoning, benchmarking, or designing technical assessments</p></li></ul>

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