Chemical Engineering Task Lead – AI Training & Evaluation

🔥 16 hours ago

🌐 Pakistan, Indonesia, +4 more countries – Remote

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⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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Logo of Gramian Consulting

Gramian Consulting

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. • 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 mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. • Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. • Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. • Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. • Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. • Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices.

🎯 Requirements

• PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. • Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. • Proficiency in Linux and command-line environments. • Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or 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 judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. • Experience mentoring, reviewing, or leading small technical teams. • Excellent written communication skills for precise technical feedback and documentation.

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