AI Trainer (Mathematics & Statistics) - Remote.

AI TRAINER (MATHEMATICS & STATISTICS) - REMOTE

Location: Global, Fully Remote
Employment Type: Contractor
Time Commitment: 15+ hours per week
Schedule: Flexible
Compensation: $60–$120/hour equivalent, paid per accepted task

ABOUT THE ROLE

We are seeking 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 apply 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. Candidates should have substantive experience training or evaluating AI systems on mathematical, statistical, or optimization content.

KEY RESPONSIBILITIES

• Create 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, and reproducibility failures.

REQUIRED QUALIFICATIONS

• Prior paid experience training, evaluating, benchmarking, or improving AI systems on mathematical or technical tasks.

• Strong practical proficiency in Python.

• Deep expertise in at least one relevant mathematical specialization.

• Hands-on experience with computational methods for numerical analysis, optimization, statistics, theorem proving, modeling, or scientific computing.

RELEVANT SPECIALIZATIONS

• Applied mathematics and scientific computing.

• Operations research and optimization.

• Formal mathematics and theorem proving.

• Probability and statistics.

• Numerical methods and mathematical modeling.

PUBLIC PROOF OF SKILL

Applicants should provide verifiable evidence of their expertise, 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 QUALIFICATIONS

• Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.

• Experience reviewing technical submissions from other AI trainers.

• 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 PROCESS

1. Submit your application, AI-training experience, specialization, and public technical evidence.

2. Complete an AI interview covering technical and integrity checks.

3. Undergo a hiring-manager review.

4. Complete project onboarding and begin your first assigned task if selected.

COMPENSATION AND WORK ARRANGEMENT

Compensation is output-based, with an estimated equivalent of $60–$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.

This is a global, fully remote contractor opportunity with a flexible schedule and a minimum commitment of 15 hours per week.