Role Overview
Apply to join a talent network for future remote DevOps and platform engineering contract opportunities with AI labs and other companies. Qualified professionals may be matched to projects that align with their background, expertise, schedule, and interests.
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 advanced 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.
- Project scope and duration vary.
Compensation
Hourly compensation ranges from $70 to $150.
Eligibility
This is an open application, not a single active job opening. To be considered for relevant projects, submit a profile with your resume and work location, then complete an AI interview. Credentials are reviewed before qualified applicants can be considered for future opportunities.
Project Availability
Opportunities are matched on a rolling basis as projects become available. Candidates may be invited to interview for assignments that fit their expertise, availability, and interests.
DevOps / Platform Engineer for AI Model Training in philadelphia at Unknown Company
This position is listed as contract and able to be worked remotely.