Advanced Mathematical Research Collaborator

2 days ago


Lucknow, Uttar Pradesh, India beBeeMathematical Full time ₹ 60,00,000 - ₹ 1,10,00,000
Mathematical Reasoning Specialist

This role involves collaborating with a research team to test the reasoning capabilities of artificial intelligence systems. The focus will be on mathematical problem-solving, analysis, and improvement.

  • Key responsibilities:
  • Create mathematical problems for AI model evaluation.
  • Analyze model responses and identify areas for improvement.
Qualifications
  • Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or related field.
  • Strong analytical and research skills.
  • Ability to provide clear, constructive feedback.
  • Excellent written communication skills.
  • Independence and self-motivation.
Benefits
  • Flexible remote work arrangement.
  • Opportunity to contribute to high-impact AI research projects.
  • Possibility of contract extension based on performance.
  • Collaboration with experts worldwide.
About This Opportunity

This position requires a strong background in mathematics and ability to analyze complex data. The selected candidate will work independently to create mathematical problems, review AI responses, and share insights on logical reasoning and structured problem-solving.

The goal is to measure how well AI models handle abstract thinking and structured problem-solving. This involves tasks such as finding permutations of elements, analyzing polyhedra, and other mathematical challenges.

Eligible candidates must have completed or be currently pursuing a Ph.D. or Postdoctoral degree in a relevant field. Strong research and analytical skills are essential, along with excellent written communication skills.

Time commitment and contract details include at least 4 hours per day and minimum 20 hours per week, with options for 30 or 40 hours per week. Engagement type is contractor assignment/freelancer with no medical/paid leave, and the duration of the contract is one month.

The selection process involves a task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.



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