Mathematics AI Training Expert - PhD - (UK)

<p style="min-height:1.5em">Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.</p><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 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> <strong>2 months</strong>, 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 <strong>Mathematics</strong> 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 mathematical 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 mathematical reasoning, not just memorization</p></li><li><p style="min-height:1.5em">Where relevant, use Python or specialized tools to build 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">Master’s or PhD in Mathematics or a closely related field</p></li><li><p style="min-height:1.5em">Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics</p></li><li><p style="min-height:1.5em">Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar</p></li><li><p style="min-height:1.5em">Solid grasp of algorithms, numerical methods, and computational approaches</p></li><li><p style="min-height:1.5em">Ability to design original, difficult problems that mirror real mathematical 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 symbolic math systems, theorem provers, optimization solvers, or other mathematical software</p></li><li><p style="min-height:1.5em">Background in olympiad-level, graduate-level, or research-level problem design</p></li><li><p style="min-height:1.5em">Experience evaluating model reasoning, benchmarking, or technical assessment design</p></li></ul>