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OpenTrain AIFor AI Companies

Engineering Expert for LLM Evaluation

Use your engineering knowledge to write technical prompts and evaluate large language model responses for accuracy and clarity. This remote, asynchronous contract work offers flexible participation of 20 or more hours per week.

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OpenTrain AI

Generative AI & RLHF

Remote

Contract, part-time

Engagement

Remote

Location

Nov 7, 2026

Posted

Open to applicants in

United States

The work

You will help improve large language models by creating engineering prompts and reviewing their responses. Your work will focus on whether technical answers are accurate, clear, and useful.

The role is remote, asynchronous, and project-based. You will work independently, research engineering topics with AI tools, and use professional judgment when explaining or assessing complex material.

  • Create prompts based on engineering concepts and specialized knowledge.
  • Evaluate AI-generated responses for technical accuracy, clarity, and quality.
  • Research engineering topics and use AI tools to support your work.
  • Explain and assess complex technical material precisely.
  • Work independently in an asynchronous project environment.

What it pays and takes

Payment is made weekly for completed tasks. Project placement depends on available work, and the role is offered as part-time contractor work.

  • Work arrangement: Remote and flexible, with a time requirement of 20 or more hours per week.
  • Location: Open to candidates in the United States.
  • Education: Bachelor's degree in mechanical, industrial, civil, petroleum, materials, or aerospace engineering.
  • Skills: Strong engineering knowledge and precise written communication.
  • Communication: Excellent written English and the ability to explain complex concepts clearly.
  • Work structure: Ability to work as a 1099 independent contractor.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate and understand text. Contributors write examples and review model responses, while subject-matter experts help ensure that technical content is accurate and clear.

Requirements

  • Languages: English

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