Pod Lead – Chemical Engineering (Terminal Bench Science) (India)

Pod Lead – Chemical Engineering (Terminal Bench Science) (India)

24 Oct
|
ZettaMine Labs
|
India

24 Oct

ZettaMine Labs

India

Hello,

Greetings from ZettaMine!!!

Freelancing Prospect :- We are hiring a Pod Lead – Chemical Engineering (Terminal Bench Science) for a short-term Frontier AI Research, Chemical Engineering & AI Model Evaluation.

Location: India

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 [email protected]. Thanks & Regards,

Karthik K

ZettaMine

📌 Pod Lead – Chemical Engineering (Terminal Bench Science) (India)
🏢 ZettaMine Labs
📍 India

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