DevOps / Platform Engineer Talent Network | $70-$150/hr Remote
Overview
This is an ongoing talent pool for skilled DevOps and Platform Engineers who want to contribute to cutting-edge AI projects on a flexible, contract basis. Instead of applying for a single role, you submit your profile once and become eligible for future opportunities that match your expertise. The work involves helping to train and refine AI models by completing real-world tasks in your domain, with typical weekly commitments of 15–30 hours.
What You'll Do4
- 1Assess and improve the performance of AI models by completing exercises and evaluations grounded in real DevOps and platform engineering scenarios.
- 2Design and execute tasks that test an AI system’s understanding of CI/CD pipelines, cloud infrastructure, and container orchestration.
- 3Provide detailed, domain-specific feedback to help advance the capabilities of frontier AI research.
- 4Tackle a variety of project scopes and durations, each aligned with your specific background and skills.
Requirements3
- 1Proven hands-on experience with CI/CD tools and pipelines, along with cloud platforms such as AWS, GCP, or Azure.
- 2Solid grasp of containerization and orchestration technologies, particularly Docker and Kubernetes.
- 3Strong written and verbal communication skills, plus the ability to work autonomously in a fully remote setting.
Who Should Apply
This network is ideal for experienced DevOps or Platform Engineers who enjoy variety and want to lend their expertise to AI training projects. You should be comfortable working independently, eager to tackle novel challenges, and able to clearly articulate technical observations. If you have a track record of building and maintaining robust infrastructure and are looking for flexible, high-impact contract work, this is a great fit.
Salary Insight
Contract rates range from $70 to $150 per hour, depending on experience and the specific project.
Application Tip
When completing your profile, be as detailed as possible about your specific cloud and orchestration experience—mention the exact tools, versions, and scale of deployments you've handled. This will help the matching algorithm surface the most relevant projects for you.
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