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Remote Mathematics Expert

Pubblicato il 16-05-2026 - Turing in Arezzo

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.

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

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