Chemical Engineering Task Lead - AI Training & Evaluation

About Gramian
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.
About The Role
We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5-10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems.
CAPACITY: Minimum 40 hours per week, at least 4 hours per day
SENIORITY: Senior / Technical Lead
LANGUAGE: Strong written English
Key Responsibilities
Lead, mentor, and coordinate a team of 5-10 technical trainers, ensuring consistent quality, productivity, and timely delivery
Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests
Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering
Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning
Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence
Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility
Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction
Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations
Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval
Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering
Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave
Proficiency in Linux and command-line environments
Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization
Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation
Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs
Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability
Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions
Experience mentoring, reviewing, or leading small technical teams
Excellent written communication skills for precise technical feedback and documentation

Work arrangement
Yes