LLM Training - Chemistry 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 Chemistry (PhD or Master's Degree) with strong background in upper-undergraduate Chemistry or beyond to design rigorous Chemistry problems used to train and evaluate frontier AI models. This role emphasizes precision, formal chemical reasoning, and realistic university-level problem design.

Responsibilities:

• Design and curate upper-undergraduate and graduate-level Chemistry problems with complete, step-by-step solutions.
• Develop model-breaking tasks that reflect realistic academic chemistry challenges.
• Customize problem sets to meet strict formatting and specification requirements (SI units, LaTeX, closed-form answers).
• Convert diagram-heavy or multi-part questions into clear, text-only problems with definitive answers.
• Write and verify rigorous solution processes, ensuring internal consistency and correctness.
• Evaluate AI model outputs, identify failure modes, and refine tasks to maintain difficulty standards.
• Review and improve Chemistry problems created by peers for clarity, accuracy, and difficulty.
• Collaborate closely with interdisciplinary teams to maintain quality at scale.

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

Requirements:
• Master’s degree or PhD in Chemistry or a closely related discipline.
• Strong upper-undergraduate or higher-level Chemistry background.
• Fluency in written scientific English.
• Strong LaTeX skills, including use of mhchem and chemfig.
• Experience with university-level teaching, grading, or analytical research.
• Exceptional attention to detail in stoichiometry, units, constants, and notation.
• Familiarity with AI/LLM training concepts and evaluation workflows.
• Full command of IUPAC nomenclature and stereochemistry (R/S, E/Z)
• Ability to write text-only problems that replace graphical chemical structures
• Experience with quantitative chemistry problems (equilibria, kinetics, thermodynamics, spectroscopy)
• Physics Domain Expertise:
• Organic
• Inorganic
• Physical
• Radiation
• Polymer Chemistry & Polymer Physics