Remote Maths Researcher (PhD) - 34430

Turing

Bengaluru

Remote

INR 3,042,402 - 6,084,805

Part time

14 days+
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Benefits offered by this job

Remote work flexibility
Possibility of contract extension based on performance
Collaborate with experts worldwide

Job summary

A leading AI research company is seeking PhD-level researchers in mathematics to test reasoning capabilities of large language models. The role involves creating math problems, analyzing AI responses, and providing feedback. Candidates must have a Ph.D. or be pursuing one. This position requires a minimum commitment of 20 hours per week, offering remote work flexibility and high-impact AI research opportunities.

Qualifications

  • Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field.
  • Strong research and analytical skills.
  • Ability to provide clear, constructive feedback with examples.
  • Strong written communication, especially in remote settings.
  • Comfortable working independently.
  • Stable computer and internet access.

Responsibilities

  • Create math problems and review how the AI solves them, sharing insights on its understanding of complex reasoning and logical steps.
  • Analyze model responses to identify gaps in logic or understanding and provide constructive feedback with examples.
  • Document findings to contribute to improvements in model evaluation and reasoning capabilities.

Job description

Overview

Be among the first 25 applicants

Are you passionate about solving logical problems and working through challenging math?

Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving.

Responsibilities
  • Create math problems and review how the AI solves them, sharing insights on its understanding of complex reasoning and logical steps.
  • Analyze model responses to identify gaps in logic or understanding and provide constructive feedback with examples.
  • Document findings to contribute to improvements in model evaluation and reasoning capabilities.
Qualifications
  • Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field
  • Strong research and analytical skills
  • Ability to provide clear, constructive feedback with examples
  • Strong written communication, especially in remote settings
  • Comfortable working independently
  • Stable computer and internet access
Note

Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.

Time Commitment & Contract Details
  • Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week)
  • Engagement type: Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract: 1 month; [expected start date is next week]
Selection Process

Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.

About Turing

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.

Why work with Turing?
  • Remote work flexibility
  • Work on high-impact AI research projects
  • Possibility of contract extension based on performance
  • Collaborate with experts worldwide to test and refine AI models.

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