Chemical Engineering Task Lead - AI Training & Evaluation
New
G
Gramian ConsultancyChemical engineering
Workable workplace: remote; Workable locations: Pakistan. Indonesia. Kenya. Nigeria. Turkey. VietnamContractLead
Salary not disclosed
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Job Details
- Required Skills
- PythonC++Linux
Requirements
- PhD in Chemical Engineering is mandatory; postdoctoral experience or equivalent advanced technical expertise is also stated.
- 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 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.
Responsibilities
- Lead, mentor, and coordinate a team of 5–10 technical trainers.
- 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 across chemical engineering areas including 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 for meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction.
- Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and ways 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.
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