Industrial Engineering Expert; LLM Evaluation

Create industrial engineering prompts and evaluate AI responses for accuracy, clarity, and subject knowledge. This remote, flexible role pays up to $50 per hour and is open to current U.S. undergraduate students.

Remote Hourly · $50/hr

$50/hr

Contract, part-time

Remote

United States

You will help train language models on industrial engineering by creating technical prompts, reviewing AI-generated answers, and writing clear judgments about the quality of those answers.

Your feedback will identify explanations that are accurate, incomplete, unclear, or incorrect. You will also research industrial engineering topics with AI-assisted tools to deepen or validate your analysis.

• Create prompts that test industrial engineering concepts and subdomains.
• Evaluate AI responses for subject knowledge, accuracy, clarity, and explanatory quality.
• Research industrial engineering topics and use AI-assisted workflows to support your analysis.
• Write domain-specific feedback that can help improve language-model responses.

This is remote, part-time contract work with flexible participation. The work is primarily asynchronous, so you organize your contributions independently.

• Pay:
  Up to $50 per hour.
• Time: 20+ hours per week.
• Location:
  
  Open to candidates in the United States.
• Education:
  
  Current undergraduate enrollment in an industrial engineering program.
• Skills:
  
  Strong understanding of industrial engineering and the ability to explain technical concepts clearly.
• Skills:
  
  Ability to assess whether AI-generated responses show genuine understanding of specialized material.
• Helpful background:
  Technical prompt writing, AI text review, research, or explaining industrial engineering concepts.

AI training is the human work behind systems that generate and understand text. People write prompts, review model responses, and provide feedback so AI systems become more accurate and useful; specialized knowledge matters because experts can judge technical answers that general reviewers may not understand.

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