M
AI Trainer (Mathematics & Statistics)
micro1
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years
Job description
Contract role for computational mathematicians, statisticians and optimization experts to build and evaluate challenging technical tasks that improve advanced AI systems. Work is output-based and paid per accepted task.
At a glance
- Employment
- Contract · Independent contractor
- Work mode
- Remote · Worldwide
- Pay
- USD 60 – 120 / hour
What you'll do
- Create 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.
What we're looking for
- Prior 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 skill such as peer-reviewed publications or preprints, public mathematical/statistical/optimization code, Google Scholar/ORCID/arXiv or equivalent research profiles, open-source numerical or mathematical software contributions, competition/theorem-proving/optimization results, or reproducible notebooks, models, proofs, benchmarks, or technical projects.
Nice to have
- Experience 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.
How to get hired
- 1Submit your application, AI-training experience, specialization, and public technical evidence.
- 2Complete an AI interview containing technical and integrity checks.
- 3Complete a hiring-manager review.
- 4If selected, complete project onboarding and begin your first assigned task.