LLM Training - Biology PhD or PhD candidates

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 Biologists (PhD or Master's Degree) with strong background in upper-undergraduate Biology or beyond to design rigorous Biology problems used to train and evaluate frontier AI models. This role focuses on creating realistic, exam-quality tasks that are solvable by humans yet challenging enough to expose failure modes in advanced language models.

Responsibilities:

• Design and curate upper-undergraduate and graduate-level Biology problems with clear, fully worked solutions.
• Create challenging, realistic tasks that expose failure modes in frontier AI systems.
• Convert diagram-heavy or multi-part biology questions into self-contained, text-only problems with definitive answers.
• Write rigorous explanations and verify scientific accuracy throughout the problem and solution.
• Evaluate AI-generated responses, diagnose errors, and refine questions to meet difficulty targets.
• Review Biology tasks created by others and improve clarity, correctness, and realism.
• Collaborate with cross-functional teams to maintain consistent standards across large task batches.

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 extention)

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Selection process: Home Assignment + 15min interview

• Master’s degree or PhD in Biology or a closely related field.
• Strong upper-undergraduate or higher-level Biology background.
• Fluent written English with the ability to write precise scientific explanations.
• Experience with teaching, grading, exam creation, or research-based analytical work.
• High attention to detail and consistency in terminology and reasoning.
• Interest in AI model evaluation and how training data affects model behavior.
• Biology Domain Expertise:
•  Molecular Biology
•  Biochemistry
•  Genetics
•  Physiology
•  Ecology
•  Cell Biology