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LLM Training - Computer Science PhD at Gramian Consulting Group

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

07 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Problem Solving, AI Evaluation, Systems Design, Algorithms, Cybersecurity, Communication, Analytical Skills

Industry

IT Services and IT Consulting

Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are seeking Computer Science PhDs with strong background in upper-undergraduate Computer Sciences or beyond to design rigorous problems used to train and evaluate frontier AI models. You will help fine-tune large language models (like ChatGPT) using your Computer Science knowledge. Responsibilities: Design advanced computer science problems to test AI performance (e.g., systems design, algorithms, cybersecurity). These will be conceptual, not involving coding. Develop clear, step-by-step solutions with rigorous logic. Evaluate AI outputs for accuracy and quality of reasoning. Collaborate with researchers to refine benchmarks across undergraduate to PhD-level computer science topics. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 2 months (possible extension) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Selection process: short analytical challenge PhD (completed ONLY) in computer science or related field. Strong computer science reasoning and problem-solving skills across advanced domains. Ability to communicate complex ideas clearly in writing and provide structured feedback. No AI experience required.

Responsibilities

Design advanced computer science problems to test AI performance and develop clear solutions. Collaborate with researchers to refine benchmarks across various computer science topics.