
DevOps / Platform Engineer Talent Network | $70-$150/hr Remote
Overview
This is an open talent network for DevOps and Platform engineers looking to consult on AI-focused projects. Mercor connects vetted experts with leading AI labs and companies on a rolling basis. As a member, you'll train and evaluate AI models, create real-world tasks, and provide domain expertise to improve frontier AI. Work is remote, part-time, and typically runs 15–30 hours per week.
What You'll Do4
- 1Contribute to training and evaluating AI models with a focus on DevOps and platform engineering scenarios.
- 2Design and create task sets and deliverables grounded in real-world engineering situations.
- 3Provide expert-level feedback to help refine frontier AI models.
- 4Take on contract projects that range in scope and typically require 15–30 hours per week.
Requirements4
- 1Hands-on experience with CI/CD pipelines and cloud infrastructure on AWS, GCP, or Azure.
- 2Proficiency with containerization and orchestration tools like Docker and Kubernetes.
- 3Strong written and verbal communication skills for collaborating and giving feedback.
- 4Ability to work independently in a remote, self-directed environment.
Who Should Apply
The ideal candidate is an experienced DevOps or Platform engineer who wants to put their expertise to work on AI research. You're comfortable working independently, communicating clearly, and taking on contract projects that fit your schedule. If you're interested in helping train AI models and shaping frontier AI, this network is a fit.
Salary Insight
$70–$150 per hour, with part-time engagements of roughly 15–30 hours per week.
Location
Required Skills
Application Tip
When you fill out your profile, be specific about the cloud platforms and CI/CD tools you've used in production — Mercor matches you to projects based on your expertise, so concrete examples help you stand out.
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