Remote Pod Lead - Chemical Eng & AI Task Vetting

Zettamine Labs; United States; Teletrabalho; USD 83 000 - 138 000; Tempo integral

Resumo da oferta

ZettaMine is seeking a Pod Lead in Chemical Engineering (Terminal Bench Science) for a short-term, remote freelancing engagement. You will lead a pod of technical trainers to develop terminal-based tasks for frontier AI training and evaluation, reviewing statements, kinetics, data, and tests to ensure accuracy and reproducibility.

The role requires PhD or equivalent experience, strong programming in Python/Julia/C/C++/MATLAB, and expertise in process modeling and thermodynamics.

Qualificações

• PhD, postdoc, or equivalent in Chemical Engineering.
• Strong programming in Python, Julia, C/C++, or MATLAB/Octave; Linux proficiency.
• Experience in process modeling, reaction kinetics, thermodynamic modeling, or process simulation.
• Ability to evaluate mass/energy balances and solver convergence.
• Excellent written technical feedback and mentoring experience.

Responsabilidades

• Lead and mentor a pod of 5–10 technical trainers developing terminal-based chemical engineering tasks for frontier AI training/evaluation.
• Review engineering tasks end-to-end: problem statements, kinetics, data, flowsheets, environments, references, tests.
• Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport, separation, and control.
• Ensure tasks reflect authentic workflows requiring multi-step technical reasoning.
• Provide actionable feedback, track revisions, and ensure quality before approval.
• Onboard trainers, allocate work, monitor quality and productivity.

Conhecimentos

Python

Julia

C/C++

MATLAB/Octave

Process Modeling

Reaction Kinetics

Thermodynamic Modeling

Process Simulation

Process Optimization

Linux

Technical Validation

Formação académica

PhD in Chemical Engineering

Postdoctoral experience

Ferramentas

Linux

Descrição da oferta de emprego

ZettaMine is seeking a Pod Lead in Chemical Engineering (Terminal Bench Science) for a short-term, remote freelancing engagement. You will lead a pod of technical trainers to develop terminal-based tasks for frontier AI training and evaluation, reviewing statements, kinetics, data, and tests to ensure accuracy and reproducibility.

The role requires PhD or equivalent experience, strong programming in Python/Julia/C/C++/MATLAB, and expertise in process modeling and thermodynamics.