Industrial Engineer

Job Description

Your final hourly rate will be chosen by our client and determined by your location.

Fluent French/English Required

We're seeking an Industrial Engineering expert to support the evaluation and improvement of large language models (LLMs). In this role, you'll review, critique, and help design high-quality annotations, datasets, and evaluations created by other contributors—ensuring technical accuracy, rigorous reasoning, and clear explanations across complex Industrial Engineering domains.

This is a hands-on expert role focused on judgment, analysis, and clarity rather than data entry or model training.

Required Qualifications

Master's degree or PhD in Industrial Engineering or a closely related field
5+ years of research or industry experience applying Industrial Engineering methods
Strong understanding of core domains, including:
Operations research
Optimization methods
Supply chain systems
Manufacturing and production systems
Quality engineering and process improvement
Fluency in English and French, with the ability to read, write, and critique complex technical material in both languages
Ability to critique, explain, and improve complex technical content in clear, precise language
High attention to detail and comfort evaluating nuanced reasoning and tradeoffs

Preferred Qualifications

Research or industry experience in:
Optimization, simulation, or systems engineering
Workflow analysis or industrial system modeling
Familiarity with analytical or programming tools such as Python, R, MATLAB, or similar
Experience reviewing, teaching, or documenting technical material
Experience evaluating or translating technical concepts across English and French contexts
Prior experience with data annotation, evaluation, or AI/ML-adjacent workflows is a plus

What You'll Be Working On

You'll support the training and evaluation of AI large language models (LLMs) by reviewing, critiquing, and improving Industrial Engineering–focused content for technical accuracy, reasoning quality, and clarity.

Your work may include:

Reviewing and evaluating AI-generated explanations of optimization, forecasting, and system design
Assessing analyses related to supply chain networks, operations research, and manufacturing systems
Validating methodologies, calculations, assumptions, and multi-step reasoning
Reviewing step-by-step problem-solving for correctness, completeness, and logical consistency
Writing or refining clear explanations of engineering tradeoffs and decision logic
Annotating and labeling complex content (text, math, code, or technical explanations) using detailed guidelines
Evaluating model outputs for accuracy, edge cases, failure modes, and reasoning quality
Designing and reviewing prompts, questions, and test cases to stress-test model capabilities
Performing head-to-head model evaluations to identify strengths, weaknesses, and regressions
Identifying ambiguity, bias, or systematic errors and providing structured, actionable feedback
Contributing domain expertise to refine annotation schemas, evaluation criteria, and benchmarks
Clearly documenting decisions and rationale to ensure consistency, auditability, and reproducibility
Collaborating with engineering, product, and research partners to improve overall model performance

Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Management and Manufacturing
Industries
Technology, Information and Internet

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