DevOps Engineer for AI Training

About OpenTrain OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps experts discover meaningful projects, build their profiles, and apply in minutes.

• Remote contract work available worldwide
• Free OpenTrain account and straightforward application process
• Opportunity to apply real-world technical expertise to cutting-edge AI systems

About AI Training Work AI training is the human side of building modern artificial intelligence. Experts create realistic technical scenarios, review model-generated work, identify failures, and provide feedback that helps AI systems produce more reliable solutions. This work offers a way to contribute directly to how advanced AI behaves while using the professional knowledge you already have. No previous AI experience is required for this project.

• Help improve AI-generated DevOps and infrastructure solutions
• Work remotely with flexible part-time scheduling
• Contribute to the fast-growing field of AI training

The Role OpenTrain is seeking an expert DevOps Engineer for a remote contract focused on production-style infrastructure challenges. You will bring practical experience in DevOps, SRE, platform engineering, or infrastructure engineering to the evaluation and improvement of AI-generated solutions. The expected project duration is under one month, with a weekly commitment of at least 20 hours. Compensation is $50-$100 per hour, with an indicated rate of $75 per hour.

• Role: DevOps Engineer
• Work arrangement: Remote and worldwide
• Engagement: Contractor and part-time
• Experience level: Expert
• Expected commitment: 20+ hours per week
• Expected project duration: Under 1 month
• Compensation: $50-$100 per hour

What You'll Work On You will assess realistic infrastructure scenarios and help determine whether AI-generated approaches are technically sound, production-ready, and effective. Your work will combine hands-on DevOps judgment with clear expert feedback.

• Create realistic technical scenarios for AI systems
• Review and improve AI-generated solutions
• Work with CI/CD pipelines and automation
• Evaluate Docker and Kubernetes implementations
• Assess Infrastructure as Code
• Work with cloud infrastructure
• Review monitoring and incident response approaches
• Validate solutions and identify failures

Requirements and Technical Experience This project requires at least three years of experience in DevOps, SRE, platform engineering, or infrastructure engineering. Strong practical experience with the listed technologies is expected, along with experience using at least one major cloud platform. Fluent English proficiency is required. AI experience is not required; your DevOps expertise is the key qualification.

• 3+ years of experience in DevOps, SRE, platform, or infrastructure engineering
• Strong experience with Kubernetes, Terraform, CI/CD, Python, Linux, Docker, and Git
• Experience with AWS, GCP, or Azure is required
• Fluent English proficiency
• No prior AI experience required

Bonus Experience The following experience can strengthen your ability to assess infrastructure solutions, though it is listed as a bonus rather than a core requirement.

• Prometheus
• Grafana
• Datadog
• OpenTelemetry
• Security and secrets management
• Open-source contributions
• Technical writing

Build Infrastructure and Improve AI Your production infrastructure experience can help shape the next generation of AI systems. If you are ready to turn your DevOps knowledge into meaningful, flexible AI work, create your free OpenTrain account and apply.

• Bring your existing DevOps expertise to AI training
• Work on technical evaluation rather than requiring AI specialization
• Apply through OpenTrain for this remote contract opportunity