Salary
$100k – $300k per year
Location
In office (United States)
Seniority
Middle · 3+ years exp
Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 26, 2026.
Overview
Company
Impact
Profile match
YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.
DevOps Engineer
Role Type: Contractor
Location: Remote
Job Overview
We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.
No prior AI experience is required-your DevOps expertise and engineering judgment are what matter most.
Key Responsibilities
- Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
- Create working reference solutions with clear setup and validation steps.
- Review AI-generated solutions, identify failures, and provide precise technical corrections.
- Maintain high standards for correctness, reliability, and reproducibility.
- Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
- Kubernetes
- Terraform
- CI/CD
- Python
- Linux
- Docker
- Git
- Cloud Platforms
- Infrastructure as Code
Required Qualifications
- 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
- Strong coding skills in Python, Go, Bash, or TypeScript.
- Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
- Practical experience with Docker, Kubernetes, and at least one major cloud platform.
- Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
- Advanced Linux and Git skills.
- Strong written and spoken English.
- Availability of at least 20 hours per week.
Preferred Qualifications
- Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
- Background in security, secrets management, or platform reliability.
- Open-source contributions or technical writing experience.
- Previous experience with AI training data or model evaluation.
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