Role Overview
Contribute DevOps and platform engineering expertise to AI-focused projects for leading labs and companies. This open application is for future remote, hourly opportunities aligned with your background, interests, schedule, and project needs.
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 technologies, including Docker and Kubernetes.
- Strong communication skills.
- Ability to work independently in a remote environment.
Work Terms
- Remote, hourly engagement.
- Typical project commitments range from 15 to 30 hours per week.
- Projects vary in scope and duration, and may offer flexibility to work around your schedule.
Compensation
Compensation ranges from $70 to $150 per hour.
Eligibility
Complete a profile, upload a resume, confirm your work location, and pass an AI interview to be considered for relevant projects. Qualified applicants are reviewed and verified before being matched.
Project Availability
This is not a posting for one specific role. Opportunities become available on a rolling basis, and invitations to interview are based on expertise, project needs, interests, and availability.
DevOps / Platform Engineer for AI Model Training in philadelphia at Unknown Company
This position is listed as full time and able to be worked remotely.