Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Math Expert or Specialist
Job description
Math Expert or Specialist (AI Training)
About the Role
What if your years of advanced mathematical training could directly shape how AI reasons, solves problems, and thinks — for millions of people around the world? We're looking for Mathematics and Statistics experts to help fine-tune the next generation of large language models by designing rigorous problems, evaluating AI reasoning, and pushing the boundaries of what these systems can do.
This is a fully remote, flexible contract role built for PhDs and advanced researchers. No AI background needed — just deep mathematical expertise and a sharp analytical mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design advanced, multi-step math problems that rigorously test AI performance across areas like abstract reasoning, symbolic manipulation, and proof construction
- Develop clear, logically structured, step-by-step solutions to serve as gold-standard benchmarks
- Evaluate AI-generated outputs for mathematical accuracy, depth of reasoning, and solution quality
- Collaborate with researchers to refine and expand benchmarks spanning undergraduate through PhD-level mathematics
- Provide detailed, structured feedback that directly improves how leading AI models handle complex quantitative reasoning
Who You Are
- Currently pursuing or holding a PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field
- Strong mathematical reasoning across advanced domains — from analysis and algebra to probability and beyond
- Able to communicate complex ideas clearly and precisely in writing
- Detail-oriented and methodical — you notice when logic breaks down and you know how to fix it
- Self-motivated and comfortable working independently on an asynchronous schedule
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, evaluation systems, or quality assessment workflows
- Familiarity with AI tools or large language models as an end user
- Background spanning multiple mathematical disciplines — pure, applied, computational, or statistical
- Prior work in academic research, tutoring, or curriculum design
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and top AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Gain rare, hands-on exposure to how frontier AI models are trained and evaluated
- Contribute to work that raises the bar for mathematical reasoning in AI — at a global scale
- Potential for ongoing work and contract extension as new projects launch
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