Remote Maths AI Trainer (PhD) - 34430

Turing

Hyderabad

Remote

INR 827,000 - 1,240,000

Part time

14 days+

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Job summary

A leading AI company is seeking a Mathematics Researcher to assist in fine-tuning and evaluating large language models. This role is ideal for candidates with a strong analytical background, enrolled in or completed a PhD in Mathematics. Applicants must demonstrate clarity in communication and the ability to work independently in a remote environment. The position requires a time commitment of at least 20 hours per week, with flexible options up to 40 hours.

Qualifications

  • Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field.
  • Strong analytical ability to solve advanced math problems.
  • Clarity in explaining complex topics.

Responsibilities

  • Assist in fine-tuning large language models.
  • Evaluate model weaknesses with mathematical tasks.
  • Participate actively in team discussions.

Skills

Strong analytical skills
Clear communication
Research independence
Independent remote work

Education

PhD/Postdoc in Mathematics or related field

Job description

Overview

We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions.

Research Objectives

As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks:

  • Determine the number of real 5×5 5 × 5 symmetric matrices of rank 2 whose entries are only 0 or 1.
  • How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3?
  • How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1?

These tasks are designed to find model weaknesses and improve training and evaluation workflows.

Candidate Profile
  • Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field.
  • Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning.
  • Communication Skills: Clarity in explaining complex topics and providing feedback with precision.
  • Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.
  • Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments.

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?
  • Work on research that directly impacts the future of language model performance in mathematics and STEM.
  • Collaborate with a global network of experts shaping next-generation AI benchmarks.
  • Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.
Seniorities
  • Seniority level: Entry level
Employment type
  • Contract
Job function
  • Information Technology and Engineering
Industries
  • Technology, Information and Internet

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