About this role
Role Overview
Contribute DevOps and platform engineering expertise to AI research and product teams through hands-on work training and evaluating models, designing and maintaining infrastructure, and producing real-world tasks and deliverables. This is an open application to join an expert talent network that connects experienced DevOps and platform engineers with contract opportunities that match their background and interests.
Key Responsibilities- Train and evaluate AI models that require DevOps or platform engineering knowledge
- Create tasks, tests, and deliverables grounded in real-world platform scenarios
- Provide domain-specific feedback to improve model behavior and research outcomes
- Collaborate and communicate findings clearly while working independently in remote engagements
- Professional experience building and maintaining CI/CD pipelines
- Hands-on experience with cloud providers such as AWS, GCP, or Azure
- Experience with containerization and orchestration, for example Docker and Kubernetes
- Strong verbal and written communication skills
- Proven ability to work independently in remote settings
- Engagement type: hourly contract opportunities for independent contractors, fully remote
- Typical time commitment: 15 to 30 hours per week, varies by project
- Project scope and duration vary by engagement
- Placement depends on project availability, experts are matched to opportunities on a rolling basis
- Pay rate range: $70 to $150 per hour
- Paid on an hourly basis for contract work
- This listing is an open application to join the expert network, not a single guaranteed assignment
- To be considered for projects you must complete a profile, upload your resume, and confirm your work location
- Applicants must pass an AI-based interview as part of verification
- Qualified applicants are reviewed and approved before being matched to projects
- When a project aligns with your skills and availability you may be invited to interview and engage under the stated hourly terms