Work Type
Remote
Location
United States
Compensation
$80-$120 per hour
About this opportunity
Overview
Join a leading AI lab’s GenAI team and contribute to building foundational AI models. This role is focused on DevOps and infrastructure expertise to help improve the quality of AI training data through realistic technical judgment.
The position is described as a W-2 employment arrangement with Cincinnatus LLC, which serves as the employer of record and places workers with client teams. The posting also states that the work is remote and can be completed on your own schedule.
What You’ll Do
- Help research and engineering teams address knowledge gaps in DevOps, infrastructure engineering, cloud platforms, reliability, and observability.
- Design domain-relevant tasks and write clear, accurate solutions to DevOps and infrastructure problems.
- Review tasks and solutions and provide written technical feedback.
- Build and evaluate realistic infrastructure scenarios, including Kubernetes manifests, Terraform modules, CI/CD pipelines, and incident debugging exercises.
- Create rubrics to assess infrastructure design, security posture, reliability, and cost tradeoffs.
- Work with other subject matter experts to maintain consistency and accuracy in training data.
Requirements
- 4+ years of dedicated professional experience in DevOps, SRE, platform engineering, or infrastructure engineering at a recognized top-tier organization.
- Hands-on production experience with Kubernetes and containers such as Docker.
- Experience with infrastructure as code tools such as Terraform, Pulumi, or CloudFormation.
- Deep experience with at least one major cloud provider such as AWS, GCP, or Azure.
- Experience with CI/CD tooling such as GitHub Actions, Jenkins, ArgoCD, or similar.
- Strong scripting ability in Python, Bash, or Go.
- Demonstrated career progression.
- Ability to commit reliably for at least 20 hours per week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
Additional Notes
- The role is fully remote.
- Payments are made weekly via Stripe or Wise based on services rendered.
- H1-B and STEM OPT candidates are not supported at this time.
