Vacancy description
Recruitment Room
AWS Cloud Devops Engineer - Remote in work from home, India is listed on Jobeax. Browse 30,000+ vacancies available.
DevOps Engineer
Job Type: Independent Contractor
Location: Remote
Compensation: $50–$100/hour ($104,000–$208,000 annualized , based on 40 hours/week)
About the Opportunity
We are seeking experienced DevOps Engineers to contribute to a customer project focused on scalable, modern cloud infrastructure.
You will apply your DevOps expertise to help train next-generation AI systems through high-quality, real-world technical input. No prior AI experience is required — your infrastructure and engineering expertise is what matters.
This opportunity is suited to professionals with strong experience in CI/CD, containers, Kubernetes, infrastructure as code, Linux, Git, and automation .
What You'll Do
Design realistic DevOps tasks based on production-style scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response .
Write working reference solutions with clear setup and validation steps.
Review AI-generated outputs, identify failures, and provide precise corrections with supporting reasoning.
Maintain a high standard for correctness and reproducibility .
Provide structured feedback to improve future task design.
Requirements
Preferred Qualifications
Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry .
Background in security, secrets management, or platform reliability.
Open-source contributions or technical writing experience.
Previous experience with AI training data or model evaluation.
Contract Details
Work arrangement: Fully remote.
Engagement: Independent contractor.
Availability: Minimum 20 hours per week.
Projects may be extended, shortened, or concluded early depending on project requirements and performance.
Why Join
Apply your DevOps expertise to next-generation AI systems .
Work on realistic infrastructure, automation, and cloud engineering scenarios.
Help improve how AI systems reason about DevOps and production infrastructure .
Contribute your existing engineering expertise without requiring prior AI experience.
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