[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