Engineering Expert, AI Response Evaluation

Use your engineering expertise to write prompts and evaluate AI-generated responses for technical accuracy. This remote role offers up to $75 per hour and requires 20+ hours per week.

Remote Hourly · $75/hr

$75/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

You will help improve large language models by creating engineering prompts and reviewing their responses. Your evaluations will focus on technical understanding, accuracy, reasoning, and overall quality.

The work includes researching engineering topics with AI assistance and explaining specialized concepts clearly enough to identify strong, flawed, or incomplete answers. Projects are remote and primarily asynchronous, so much of the work is completed independently.

• Write prompts based on engineering concepts and specialized questions
• Evaluate AI responses for technical accuracy and quality
• Check whether responses show sound engineering understanding and reasoning
• Research engineering topics with help from AI
• Explain technical concepts clearly when assessing model output
• Work independently in an asynchronous project setting

This is part-time contract project work for engineering specialists. The role is open to candidates in the United States and requires professional fluency in English.

• Pay: up to $75 per hour
• Time: 20+ hours per week
• Location:
  
  Open to candidates in the United States
• Format:
  Remote, asynchronous work with flexible hours
• Education:
  
  Current doctoral study, a completed doctorate, or postdoctoral research experience in engineering
• Strong knowledge of engineering concepts in your area of expertise
• Clear technical communication and the ability to judge whether AI responses are correct and well reasoned
• Comfort conducting independent research with AI assistance
• Helpful experience: large language models, prompt development, AI evaluation, technical research, or engineering education

AI training is the human work behind systems that write and answer questions. Contributors create examples, review model responses, and provide expert feedback so AI systems become more accurate and useful; specialized knowledge is important when the subject is engineering.