About the Role: - Work on projects that improve and evaluate large language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. - Break down complex mathematical concepts into simple, clear explanations. - Work efficiently. - Design precise, closed-ended prompts. - Write reliable Python code. - Verify numerical answers. - Provide clear rationales. Day-to-Day Responsibilities: - Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. - Solve problems independently. - Write detailed, logically structured solutions with clear justifications. - Review model-generated solutions. - Identify mathematical errors or missing arguments. - Provide precise feedback, annotations, and corrections. - Contribute to defining new evaluation benchmarks based on mathematics curricula spanning from early undergraduate to PhD-level topics. - Develop and validate Python-based solutions for computational tasks using approved scientific libraries. - Work on theorem-prover tasks using Lean, including translating mathematical problems and proofs into formal language. - Verify that formal proofs compile correctly. Requirements: - Good research and analytical skills. - Ability to provide constructive feedback and detailed annotations. - Creative and lateral thinking abilities. - Excellent structured communication and collaboration skills in a remote setting. - Self-motivated and able to work independently in a remote setting. - Desktop/laptop with a good internet connection. Preferred Qualifications: - Candidates pursuing a Master's/Ph.D./Postdoctoral degree in Mathematics, Applied Mathematics, Statistics, or a related field. - Ability to analyze and solve complex math problems with a structured and logical approach. - Ability to explain math concepts clearly using simple language, visuals, and examples. Required Skills: - Algebra. - Calculus & Analysis. - Geometry & Topology. Perks of Freelancing: - Work in a fully remote environment. - Opportunity to work on cutting-edge AI projects with leading LLM companies. - Potential for contract extension based on performance and project needs. Offer Details: - Commitment of at least 4 hours per day and a minimum of 20 hours per week. - 4 hours of overlap with PST required. - Engagement type as contractor assignment/freelancer.

AI Trainer Mathematics Expert (Master's/Ph.D.)

Emma

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