Chemical Engineer Lead

Pod Lead – Chemical Engineering (AI Training \& Evaluation)

• *Compensation:** ₹2\.19 Lakh Per Month (LPM)
• *Job Type:** Short\-Term Contract
• *Contract Duration:** 4 Weeks
• *Work Mode:** Remote
• *Daily Commitment:** 8 Hours Per Day
• *Time Zone Requirement:** Minimum 4 Hours of Overlap with Pacific Standard Time (PST)
• *Team Size:** Approximately 5–10 Technical Trainers

Job Overview

We are looking for an experienced Chemical Engineering professional to join a frontier AI training and evaluation initiative as a **Pod Lead – Chemical Engineering**.

In this role, you will lead a team of approximately 5–10 technical trainers responsible for developing realistic, terminal\-based chemical engineering tasks used to train and evaluate advanced AI models.

You will oversee the technical quality, accuracy, reproducibility, and evaluation standards of engineering tasks while ensuring they reflect authentic chemical engineering workflows.

The ideal candidate will have advanced technical expertise in Chemical Engineering, strong programming capabilities, hands\-on experience with computational modeling and process simulation, and the ability to lead and mentor technical teams.

Key Responsibilities

• Lead and mentor a team of approximately 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery of chemical engineering tasks.
• Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property 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 realistic chemical engineering workflows and require meaningful, multi\-step technical reasoning.
• Verify engineering correctness across mass and energy balances, thermodynamic consistency, property data, unit handling, and numerical convergence.
• Validate computational models, stiff ODE/DAE solvers, solver tolerances, initial conditions, and simulation results to ensure reproducibility and technical accuracy.
• Review automated grading systems 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 potential shortcuts that bypass meaningful engineering calculations or simulations.
• Provide clear and actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
• Onboard trainers, allocate assignments, monitor quality and productivity, and escalate technical blockers.
• Maintain technical documentation, quality standards, and best practices to ensure consistent task development and evaluation.

Required Qualifications \& Skills

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Chemical Engineering or a closely related discipline.
• Strong programming skills in Python, Julia, C/C\+\+, or MATLAB/Octave.
• Proficiency in Linux environments and command\-line workflows.
• Hands\-on expertise in at least one of the following areas:
• Process Modeling
• Reaction Kinetics and Reaction Engineering
• 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 reliability.
• Strong analytical and problem\-solving skills, with the ability to identify technical errors, edge cases, and flawed engineering assumptions.
• Experience mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills and the ability to provide precise technical feedback and document quality standards.

Preferred Qualifications

• Experience with chemical engineering simulation and computational tools such as Cantera, CoolProp, Pyomo, IDAES, DWSIM, CasADi, or OpenFOAM.
• Familiarity with commercial process simulation software such as Aspen Plus, Aspen HYSYS, or gPROMS, including the ability to reproduce workflows using open\-source tools.
• Experience in process optimization, reactor modeling, separation systems, process control, or electrochemical simulations.
• Familiarity with Docker, Git, CI/CD pipelines, and automated testing frameworks.
• Experience developing or evaluating AI coding agents, terminal\-based agents, or LLM\-generated engineering solutions.
• Industry experience in petrochemicals, pharmaceuticals, energy, specialty chemicals, or chemical process manufacturing.
• Previous experience in AI training, technical quality assurance, benchmark development, or AI model evaluation programs.

Ideal Candidate Profile

We are particularly interested in candidates who demonstrate

• Advanced academic or professional expertise in Chemical Engineering.
• Strong hands\-on experience in computational chemical engineering, process modeling, or simulation.
• Proficiency in programming languages such as Python, Julia, C/C\+\+, or MATLAB.
• Experience working with Linux\-based computational environments and terminal workflows.
• Strong technical judgment and the ability to validate complex engineering calculations and simulation results.
• Previous experience mentoring, reviewing, or managing technical teams.
• Excellent analytical thinking, problem\-solving, and technical documentation skills.
• Ability to work independently in a remote environment and manage multiple deliverables within defined timelines.
• Interest or experience in AI model training, evaluation, technical benchmarking, or computational task development.

Engagement Details

• **Contract Duration:** 4 Weeks
• **Compensation:** ₹2\.19 Lakh Per Month
• **Work Commitment:** 8 Hours Per Day
• **Time Zone:** Minimum 4 Hours of Overlap with PST
• **Work Arrangement:** Remote
• **Engagement:** Short\-Term Contract

Why Join This Opportunity?

• Work on an advanced AI training and evaluation initiative.
• Apply your Chemical Engineering expertise to real\-world computational and technical challenges.
• Lead and mentor a team of engineering subject matter experts.
• Contribute to improving the technical reasoning and problem\-solving capabilities of advanced AI models.
• Gain exposure to emerging AI evaluation and engineering benchmark development workflows.

• *Interested candidates with advanced Chemical Engineering expertise, computational modeling experience, and technical leadership capabilities are encouraged to apply.**

Pay: ₹219,000\.00 per month

Benefits

• Work from home

Application Question(s)

• What is your specialization in PHD?
• What is your total years of experience?

Education

• Doctorate (Preferred)

Work Location: Remote