Remote Mathematics Expert

Turing; Turkey; Remote; TRY 1,365,000 - 2,729,000; Full time

Job summary

Turing invites talented contractors to contribute to cutting-edge AI evaluation by designing challenging physics problems and generating gold-standard data. You will collaborate with LLM researchers to align tasks with evaluation goals and push the boundaries of symbolic manipulation, abstraction, and multi-step reasoning.

Ideal candidates have a strong mathematics background (PhD preferred) and can work 4 hours daily in a remote-first setup, with overlap for PST.

Qualifications

• Strong analytical, research, and problem-solving skills with excellent English comprehension.

Responsibilities

• Design physics problems to test the boundaries of large language models.
• Create clear, high-quality, step-by-step solutions with detailed and articulated reasoning.
• Collaborate with LLM researchers to align task designs with evaluation goals and target areas where models struggle.
• Define and build new evaluation benchmarks across physics curricula from undergrad to PhD topics.

Skills

Analytical skills

Research skills

Problem solving

English comprehension

Written communication

Independent work

Education

PhD in Mathematics

Job description

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview:

In this role, you will work on cutting-edge initiatives to fine-tune large language models by leveraging your deep analytical skills and mathematics expertise. The ideal candidate possesses a strong foundation in Mathematics -spanning advanced engineering entrance levels through graduate and PhD-level concepts—and the ability to break down complex phenomena into clear, step-by-step reasoning. You will play a direct role in probing model limitations while learning how to leverage frontier AI tools to future-proof your career.

Requirements:

• Core Skills: Strong analytical, research, and problem-solving skills with excellent English comprehension.
• Communication & Feedback: Exceptional structured written communication, with the ability to provide constructive feedback and detailed annotations in a remote environment.
• Analytical & Creative Thinking: Strong lateral thinking capabilities to construct novel scenarios and evaluate complex reasoning pathways.
• Independence: Self-motivated and capable of operating independently in a fast-paced, remote-first setup.
• Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection.

Responsibilities:

In this role, you will help set the benchmark for AI capabilities in advanced physical sciences. Your day-to-day responsibilities will include:

• Problem Creation & Solutioning: Designing and solving challenging physics problems that test the boundaries of large language models.
• Authoring Gold-Standard Data: Creating clear, high-quality, step-by-step solutions with detailed and articulated reasoning.
• Research Collaboration: Working with LLM researchers to align task designs with evaluation goals, targeting key areas where models struggle (e.g., symbolic manipulation, abstraction, multi-step reasoning).
• Benchmark Definition: Helping define and build new evaluation benchmarks across physics curricula ranging from early undergraduate to PhD-level topics.

Education & Experience:

• Educational background or Doctorate in Mathematics, or an equivalent technical field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
• Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: 12 weeks

Evaluation Process:

• Shortlisted candidates will be sent a Job Interest Form.
• Final selected candidates will be contacted with the next steps, including onboarding requirements.