Chemical Engineering Task Lead - AI Training & Evaluation

• Lead and mentor a team of 5 to 10 technical trainers to ensure quality and timely delivery of engineering tasks.
• Review and validate engineering tasks including problem statements, reaction kinetics, thermodynamics, and process flowsheets.
• Ensure tasks reflect realistic chemical engineering workflows requiring multi-step technical reasoning.
• Verify mass and energy balances, thermodynamic consistency, numerical accuracy, and solver convergence in tasks.
• Validate computational models and simulation results for reproducibility and accuracy.
• Review automated grading systems to ensure meaningful assessment of engineering outputs.
• Provide technical feedback, track revisions, onboard trainers, allocate assignments, and maintain documentation and best practices.

• Hold a PhD, postdoctoral experience, or equivalent advanced expertise in Chemical Engineering.
• Have strong programming skills in Python, Julia, C/C++, or MATLAB/Octave.
• Be proficient in Linux and command-line environments.
• Possess hands-on experience in at least one major area such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization.
• Have a 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.
• Demonstrate strong analytical judgment to identify technical errors and flawed engineering assumptions.
• Have experience mentoring, reviewing, or leading small technical teams.
• Have excellent written English communication skills for precise technical feedback and documentation.

Apply through the employer's official contact by sending your application as instructed. The employer has not published a closing date.