Pod Lead - Chemical Engineering; Terminal Bench Science
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-10-29
Listing for:
Zettamine Labs
Full Time
position Listed on 2026-10-29
Job specializations:
-
Engineering
Process Engineer, Chemical Engineering, Research Scientist
Job Description & How to Apply Below
Hello,
Greetings from Zetta Mine!!!
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.
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-Freelancing
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 flow sheets, 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.
Thanks & Regards,
Karthik K
Zetta Mine
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