AI Trainer (Mathematics & Statistics)
Quick facts
- Pay
- $60 - $120/hour
- Type
- Part-time
- Location
- Global, fully remote
- Background
- PhD
- Skills
- Statistics, Mathematics, Python
- Platform
- Micro1 — 398 open jobs
- Typical pay at Micro1
- $20–185/hour · median $68 (389 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
Required Qualifications
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
Strong 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 Qualifications
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.
Application Process
Submit 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.
Compensation
Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.