AI Trainer (Mathematics & Statistics)

Pay: $60–$120/hour equivalent, paid per accepted task Location: Global, fully remote Job Type: Contractor Time Commitment: 15+ hours per week Schedule: Flexible

micro1 is looking for Computational Mathematicians, Statisticians, and Optimization Experts with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.

You will use your mathematical expertise and programming skills to create challenging technical tasks, evaluate model-generated code and reasoning, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have completed substantive AI-training work involving mathematical, statistical, or optimization content.

What You’ll Work OnCreate realistic computational mathematics and statistics tasks that challenge advanced AI models. Develop task instructions, reproducible environments, reference solutions, and evaluation criteria. Evaluate model-generated proofs, calculations, code, models, optimizations, and technical deliverables. Identify logical errors, invalid assumptions, numerical instability, incorrect statistical methods, or reproducibility failures. Required QualificationsPrior paid experience training, evaluating, benchmarking, or improving AI systems on mathematical or technical tasks. Strong practical proficiency with Python. Deep expertise in at least one relevant mathematical specialization. Hands-on experience using computational methods for numerical analysis, optimization, statistics, theorem proving, modeling, or scientific computing.

Relevant specializations may include applied mathematics, scientific computing, operations research, optimization, formal mathematics, theorem proving, probability, statistics, numerical methods, and mathematical modeling. Public Proof of SkillStrong applicants should provide evidence such as: Peer-reviewed publications or preprints Public mathematical, statistical, or optimization code Google Scholar, ORCID, arXiv, or equivalent research profiles Open-source numerical or mathematical software contributions Competition, theorem-proving, or optimization results Reproducible notebooks, models, proofs, benchmarks, or technical projects Preferred QualificationsExperience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems. Experience reviewing other AI trainers’ technical submissions. A master’s degree, PhD, or equivalent record of substantial computational work. Experience with NumPy, SciPy, SymPy, pandas, Pyomo, OR-Tools, Lean, Coq, or comparable tools. Experience validating numerical solutions, statistical results, optimization outputs, or formal proofs. Availability to begin immediately. Application ProcessSubmit your application, AI-training experience, specialization, and public technical evidence. Complete an AI interview containing technical and integrity checks. Complete a hiring-manager review. If selected, complete project onboarding and begin your first assigned task. CompensationCompensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.