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Remote DevOps​/Platform Engineer Talent Network - AI Trainer

Remote / Online - Candidates ideally in
Olathe, Johnson County, Kansas, 66051, USA
Listing for: Mercor
Part Time, Remote/Work from Home position
Listed on 2026-03-10
Job specializations:
  • Engineering
    Systems Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 70 - 150 USD Hourly USD 70.00 150.00 HOUR
Job Description & How to Apply Below
Position: Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

About Mercor’s talent network

Join our Dev Ops / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests. Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.

About

Mercor projects
  • Training and evaluating AI models in Dev Ops / Platform Engineering
  • Creating tasks and deliverables based on real-world scenarios
  • Providing domain‑specific feedback to advance frontier AI research

Projects vary in scope and duration, with typical commitments ranging from 15‑30 hours per week.

What we’re looking for
  • Professional experience in CI / CD pipelines, cloud infrastructure (AWS / GCP / Azure), containerization & orchestration (Docker / Kubernetes)
  • Strong communication skills
  • Ability to work independently in a remote environment
How it works
  • Apply once:
    Complete your profile by uploading your resume and confirming your work location.
  • Get verified:
    We review your credentials and approve qualified experts.
  • Stay connected:
    When projects need Dev Ops / Platform Engineering expertise, we match you to opportunities based on your expertise and project needs.
  • Start working:
    Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.
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