Turing
Remote Mathematics Researcher (PhD)
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Job Description:
Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required.
Role Overview:
Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.
Responsibilities:
- Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation).
- Develop clear, step-by-step solutions with rigorous logic.
- Evaluate AI outputs for accuracy and quality of reasoning.
- Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.
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Requirements:
- PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
- Strong mathematical reasoning and problem-solving skills across advanced domains.
- Ability to communicate complex ideas clearly in writing and provide structured feedback.
- No AI experience required
Perks:
- Fully remote, flexible work.
- Work on cutting-edge AI projects with leading LLM companies.
Offer Details:
- Pay rate: $100+/hour (depends on role and candidate expertise)
- Assessment: Shortlisted experts complete an evaluation before selection.
- Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
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