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 tasks such as: Determine the number of real 5×55×55×5 symmetric matrices of rank 2 with entries only 0 or 1. Count the subsets of a 10-element set whose characteristic vectors have Hamming weight exactly 3. Find the number of 10-digit numbers where the sum of digits is divisible by 3, and each digit is either 0 or 1. These tasks aim to identify model weaknesses and enhance training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or related fields. Analytical Skills: Ability to solve advanced math problems with clear reasoning. Communication Skills: Ability to explain complex topics clearly and provide exact feedback. Research Independence: Capable of working independently remotely and participating in team discussions.



Technical Setup: Reliable computer and internet access for remote work. Note: This position is open only to candidates with a completed or ongoing PhD. Time Commitment & Contract Details: Commitment: At least 4 hours daily, minimum 20 hours/week, with 4 hours overlap with PST. Options: 20, 30, or 40 hours/week. Engagement: Contractor/freelancer role (no medical or paid leave). Duration: 1 month, starting next week. Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with specific timelines and workload. About Turing: Turing is a rapidly growing AI company advancing powerful AI systems. We collaborate with leading AI labs to push frontier capabilities and build real-world AI solutions. Why work with Turing? Impact the future of language models in mathematics and STEM. Collaborate with global AI experts shaping benchmarks. Access cutting-edge evaluation strategies in an academic-industry setting. Seniority level Entry level Employment type Contract Job function Information Technology Industries Software Development #J-18808-Ljbffr

📌 Remote Maths Ai Trainer (Phd) - 34877 (Quebec City)
🏢 Turing
📍 Quebec City