Engineering / manufacturing / technical operations Evaluator
- Salary
- $80 - $120 per hour
- Level
- Senior
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
This role is for one of our clients
Compensation: $80 - $120 per hour
We are hiring expert Evaluators in Engineering / manufacturing / technical operations to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.
This is a remote, hourly engagement.
Requirements
Requirements (must have)
- 5+ years of relevant professional experience in Engineering / manufacturing / technical operations.
- Native or professional fluency in English.
- Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).
Preferred (nice to have)
- Advanced degree (Master's or higher) from a reputable institution.
What you'll do
- Evaluate AI-generated artifacts against domain-specific quality rubrics.
- Identify factual, aesthetic, and presentation errors.
- Provide clear, structured written feedback.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
The team: AI Training HIRES STEADILY
This role is one of 108 open in AI Training. 1 was posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (31 of 108), Python (30 of 108), LLM (18 of 108), Git (14 of 108), SQL (12 of 108), Excel (10 of 108), Generative AI (9 of 108)
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