Senior Docker Code Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people with projects that teach AI systems through real human review work and help contributors build reputations and skills in a rapidly growing field.

This role sits at the intersection of software engineering, DevOps, and security review—work that directly shapes how next-generation AI models are evaluated and improved.

About AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building AI: people prepare, review, and score examples that models learn from. These projects are typically remote, flexible, and accessible, offering a hands-on way to influence how AI behaves.

As a Docker code reviewer you will be part of that human layer—ensuring container examples used to train models are correct, secure, and follow modern best practices.

The Role

You will validate annotator reviews of AI-generated Dockerfiles and container-orchestration snippets. For each submission you will build and run the image in an isolated environment, confirm it matches the prompt, verify functionality, and ensure adherence to our quality rubric.

This is a contract, part-time position (20+ hours/week). The project pays $24 USD per hour and is open worldwide; work is performed remotely using sandboxed or rootless environments to safely run untrusted container builds.

What You'll Do

• Build and run submitted Docker images or orchestration snippets in an isolated sandbox or rootless VM to confirm functional compliance.
• Verify adherence to prompts and project rubric: multi-stage builds, minimal base images, non-root users, efficient layer caching, and CVE hygiene.
• Use container scanning and security tools (e.g., Trivy, Grype, Dockle) to identify vulnerable packages or outdated base images.
• Flag inaccurate annotator ratings and provide concise, actionable remediation notes for each issue.
• Reproduce build failures, analyze layer diffs, and recommend performance or cache improvements.
• Ensure every review meets structured QA standards and document decisions in the ticketing/annotation workflow.

Requirements & Qualifications

Experience level: Intermediate (per project listing). The role’s ideal qualifications expect senior-level expertise—please read the list below and apply only if you meet these practical skills and experience requirements.

• 7+ years in DevOps, SRE, or container-focused engineering with regular code-review duties.
• Deep knowledge of Dockerfile syntax, multi-stage builds, image-slimming, Docker Compose, and BuildKit workflows.
• Expertise in container security: spotting privilege escalation, hard-coded secrets, root-user pitfalls, and vulnerable packages.
• Proficiency with CI/CD and toolchains such as GitHub Actions/GitLab CI and registry management.
• Hands-on experience with scanning tools (Trivy, Grype, Dockle) and reproducing build failures.
• Comfortable running containers in sandboxed VMs or rootless modes to validate functional compliance.
• Strong written English (B2+ CEFR) to produce clear, actionable feedback and mentorship notes.
• Familiarity with Kubernetes toolings (Helm, Kustomize) and container runtimes (containerd, CRI-O) is a plus.
• Experience with rubric-based scoring, ticketing systems, and annotation workflows.
• Nice to have: exposure to LLM evaluation, RLHF pipelines, or AI/ML data-labeling projects.

How This Project Works

You will review work produced by annotators: validate builds, check for security and best-practice adherence, and overwrite or flag annotator scores when they deviate from the rubric. Each review requires concise remediation advice so annotators and engineers can learn and fix issues.

The project uses an 'OTHER' labeling software platform (custom or third-party tooling). You will record findings in the provided annotation interface and follow ticketing procedures for escalations and retraining requests.

Compensation & Logistics

Rate: $24 USD per hour (PAY_PER_HOUR). Time commitment: 20+ hours per week. Employment types: contractor, part-time. The role is open worldwide.

You must be able to run and test untrusted container builds safely (sandboxed VMs or rootless approaches). Excellent written communication is required to document findings and provide remediation notes.