Applied Mathematician - AI Trainer

DataAnnotation; United States; Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

DataAnnotation is seeking a Mathematician to evaluate and correct mathematical reasoning across problems, from olympiad-style puzzles to graduate-level material. Your judgment becomes the standard the models learn from.

You’ll craft problems, review AI solutions step by step, and write gold-standard solutions with the rigor of a referee report. Flexible, remote work is available, with competitive hourly compensation.

Qualifications

• Proven ability to write precise, well-structured proofs.
• Experience with LaTeX for mathematical writing.
• Strong understanding of both pure and applied mathematics.

Responsibilities

• Craft problems exposing weak mathematical reasoning across problems.
• Review AI solutions step by step, identify invalid derivations and leaps.
• Provide gold-standard solutions with rigorous referee-level explanations.

Skills

Strong background in mathematics

Competition math experience

Writing precise proofs

LaTeX proficiency

Education

Graduate study or equivalent experience

Tools

LaTeX

Job description

Frontier models still fail at rigorous multi-step mathematics: invalid derivations, unjustified leaps, and confidently wrong final answers. Automated checks can't grade a proof. You can.

As a Mathematician you'll evaluate and correct mathematical reasoning across everything from competition problems to graduate-level material, and your judgment becomes the standard the models learn from.

What you’ll actually do

• Craft problems that expose weak mathematical reasoning, from olympiad-style puzzles to graduate-level proofs.
• Review AI solutions step by step: catch invalid derivations, flag unjustified leaps, and rate the quality of the reasoning.
• Write the gold-standard solution when the model falls short, with the rigor of a referee report.

What we look for

• Strong background in pure or applied mathematics through graduate study, competition math, or equivalent experience.
• Fluency writing precise, well-structured proofs (LaTeX comfort helps).
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Compensation

Up to $40 - $125+/hr depending on task difficulty and specialization. Many contributors add $10k-$100k+ a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.