PhD Computer Science Expert for AI Research

About Us

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 looking for Computer Science engineers with PhD diploma to contribute to advanced AI model evaluation projects focused on reasoning-heavy computer science challenges. In this role, you will help assess and improve frontier AI systems by creating complex conceptual problems and evaluating the quality of AI-generated reasoning across multiple CS domains.

You will work on topics such as algorithms, systems design, databases, cybersecurity, computer networks, distributed systems, and other advanced undergraduate to PhD-level computer science areas. The ideal candidate combines strong theoretical foundations with the ability to critically analyze technical reasoning, edge cases, assumptions, and solution correctness.

CONTRACT: Contractor assignment (12-week project), paid per completed task

COMMITMENT: 20-40 hours/week with minimum 4 hours PST overlap

LOCATION: Remote — Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

PROCESS: 1 Online Test + 1 Interview

NOTE: Accepted candidates need to go through criminal background check before starting work.

Responsibilities

• Design advanced computer science problems focused on reasoning and conceptual understanding
• Create structured reference solutions with clear logic and technical explanations
• Evaluate AI-generated answers for correctness, reasoning quality, completeness, and clarity
• Identify edge cases, logical flaws, and weak reasoning patterns in model outputs
• Review complex topics across algorithms, systems, databases, networking, security, and theory
• Contribute to benchmark and evaluation quality improvements
• Provide detailed feedback to support AI model training and evaluation
• Collaborate with researchers and reviewers on problem refinement
• Maintain high-quality standards and consistent evaluation methodology

• PhD in Computer Science or a closely related field (completed or in progress)
• Strong theoretical and problem-solving background across advanced CS domains
• Ability to design conceptual and reasoning-heavy technical problems
• Strong understanding of algorithms, systems, databases, networking, or cybersecurity
• Excellent written English communication skills
• Strong analytical skills and attention to technical detail
• Ability to critically evaluate reasoning, assumptions, and solution validity