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Remote DevOps & Platform Engineer — AI Trainer Network
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About
Expert Contributions
Training and evaluating AI models in DevOps / Platform Engineering
Creating tasks and deliverables based on real-world scenarios
Providing domain‑specific feedback to advance frontier AI research
Project Scope 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 This is not a specific job posting. By applying, you’re joining our DevOps / Platform Engineer talent network.
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 DevOps / 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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Languages
- English
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