[R68RP6UZ] Pod lead - Chemical Engineering

Hello,
Greetings from ZettaMine!!!
Freelancing Opportunity :- We are hiring a Pod Lead – Chemical Engineering (Terminal Bench Science) for a short-term Frontier AI Research, Chemical Engineering & AI Model Evaluation project across the following locations:
Eligible Locations: 🇧🇩 Bangladesh | 🇧🇷 Brazil | 🇨🇴 Colombia | 🇪🇬 Egypt | 🇬🇭 Ghana | 🇮🇳 India | 🇮🇩 Indonesia | 🇰🇪 Kenya | 🇳🇬 Nigeria | 🇹🇷 Turkey | 🇻🇳 Vietnam
Role: Pod Lead – Chemical Engineering (Terminal Bench Science)
Educational Eligibility: PhD, postdoctoral experience, or equivalent advanced technical experience in Chemical Engineering.
Mode: Remote
Start: Immediate
Duration: 4 Weeks
Mandatory Eligibility Criteria
Technical Qualification:
Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave, with proficiency in Linux environments.
Hands-on expertise in at least one major area: Process Modeling | Reaction Kinetics | Thermodynamic Modeling | Process Simulation | Process 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 results.
Strong analytical skills to identify technical errors, unrealistic assumptions, edge cases, and flawed engineering methodologies.
Experience mentoring technical teams, reviewing deliverables, and maintaining quality standards.
Excellent written communication skills for providing precise technical feedback and documenting engineering requirements.
Availability
Minimum 40 hours per week.
Availability to work at least 8 hours per day.
Minimum 4 hours of overlap with PST business hours.
What You’ll Work On
Lead and mentor a pod of approximately 5–10 technical trainers developing realistic, terminal-based chemical engineering tasks for a frontier AI training and evaluation initiative.
Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic 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 authentic chemical engineering workflows and require meaningful multi-step technical reasoning.
Verify engineering accuracy across mass and energy balances, thermodynamic consistency, property data, unit handling, and numerical convergence.
Validate computational models, ODE/DAE solvers, solver tolerances, initial conditions, and simulation results for reproducibility and technical correctness.
Review automated graders to ensure they accurately evaluate engineering outputs such as conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction.
Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass engineering calculations or simulations.
Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
Onboard trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
Maintain technical documentation, quality standards, and best practices throughout task development.
Interested candidates: Please share your updated CV and LinkedIn profile at md.afreen@zettamine.com.
Thanks & Regards,
Saranya M (Afreen)
ZettaMine

Work arrangement
Yes