Advanced Mathematician for Large Language Model Evaluation

1 day ago

Bikaner, Rajasthan, India beBeeMathematics Full time ₹ 60,00,000 - ₹ 85,00,000

Mathematical Researcher (PhD) - Freelance Position

Role Overview:

Our organization is seeking researchers with a strong mathematical and analytical background to contribute to the fine-tuning and evaluation of large language models.

The primary objectives of this research initiative are as follows:

  • Determine the number of real 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 aim to identify model weaknesses and improve training and evaluation workflows.

Candidate Profile:

Qualifications and Skills

  • 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.

Time Commitment and Contract Details

  • Commitments Required: At least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST.
  • Engagement type: Contractor assignment/freelancer (no medical/paid leave).
  • Duration of contract: 1 month.
  • Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.

About This Opportunity

This freelance position allows you to work on research that directly impacts the future of language model performance in mathematics and STEM. You will collaborate with a global network of experts shaping next-generation AI benchmarks and gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

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