DevOps / Platform Engineer for AI Model Training

Apply to join a remote talent network supporting AI-focused DevOps and platform engineering projects. Opportunities are contract engagements that are matched to your background, interests, availability, and project needs as they open. Role Overview Selected experts contribute their DevOps and platform engineering knowledge to help train and evaluate AI models and advance AI research. Key Responsibilities Train and evaluate AI models in DevOps and platform engineering. Create tasks and deliverables based on real-world engineering scenarios. Provide domain-specific feedback that supports frontier AI research. Qualifications Professional experience with CI/CD pipelines. Experience with cloud infrastructure, including AWS, GCP, or Azure. Experience with containerization and orchestration tools, including Docker and Kubernetes. Strong communication skills. Ability to work independently in a remote environment. Work Terms Remote, hourly contract opportunities. Typical project commitments range from 15 to 30 hours per week. Projects vary in scope and duration, and opportunities are matched on a rolling basis as relevant work becomes available. Compensation $70 to $150 per hour. Eligibility Complete a profile, upload your resume, and confirm your work location. Qualified applicants undergo credential review and an AI interview; those who pass become eligible for relevant projects. Invitations to interview are based on expertise, project needs, schedule, and interests.