Role Overview
Contribute DevOps and platform engineering expertise to AI-focused contract projects for leading labs and companies. This is an open application for future opportunities, with project matches based on your background, interests, and project needs.
Key Responsibilities
- Train and evaluate AI models in DevOps and platform engineering contexts.
- Create tasks and deliverables grounded in 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 work.
- Typical project commitments range from 15 to 30 hours per week.
- Project scope and duration vary, and matching occurs on a rolling basis as opportunities become available.
- Selected candidates may interview for opportunities that align with their availability and interests and work remotely on their own schedule.
Compensation
$70 to $150 per hour.
Eligibility
To be considered for relevant projects, submit a profile with your resume and work location, complete the AI interview, and meet credential-review requirements.