Mathematical Modeler - AI Trainer

DataAnnotation

Kansas

Remote

USD 55,000 - 172,000

Part time

17 hours ago
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Benefits offered by this job

Flexible, remote projects

Job summary

DataAnnotation is seeking a Mathematician to craft problems that reveal weaknesses in reasoning and to review AI-generated solutions with rigorous, step-by-step scrutiny. You will also compose the gold-standard solutions when models miss crucial details, applying high standards of mathematical precision.

The role emphasizes clear written English, graduate-level or equivalent math background, and the ability to present proofs in well-structured form.

Qualifications

  • Advanced mathematics background required or demonstrated equivalent experience.
  • Strong ability to write precise, structured mathematical arguments.
  • Fluency in English for clear mathematical communication.

Responsibilities

  • Craft problems that reveal weaknesses in mathematical reasoning.
  • Review AI-generated solutions step by step for invalid derivations and unjustified leaps.
  • Write the gold-standard proof or referee report when models fall short.

Skills

Mathematics expertise
Proof writing
LaTeX

Education

Graduate study in Mathematics

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.

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