Senior Docker Code Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect technical contributors with projects that shape how next-generation AI systems behave, offering flexible, remote work and pathways to grow in the fast-moving AI-training industry.

About AI Training Work

AI training (a.k.a. data labeling or human feedback work) is the human side of building AI: people create, review, and score examples that models learn from. Contributors do tasks ranging from annotating images and transcribing audio to reviewing model responses and code snippets — all remotely and with flexible schedules.

This role focuses on code-level annotation for container and DevOps content: you will help ensure the AI-generated Docker artifacts used as training data are correct, secure, and follow best practices.

The Role

We are hiring a Senior Docker Code Reviewer — part DevOps engineer, part security auditor — to validate annotator reviews of AI-generated Dockerfiles and container-orchestration snippets.

You will build and run images in an isolated environment, confirm functional compliance with prompts, flag incorrect annotator ratings, and provide concise remediation notes so every review meets the project quality rubric.

• Work type: Contractor, part-time (20+ hours/week).
• Pay: $24 USD per hour, paid per hour.
• Location: Remote — worldwide applicants welcome.

What You’ll Do

You will perform hands-on validation of AI-generated Docker and container orchestration outputs and review annotator work against a quality rubric.

• Build and run submitted Dockerfiles and container snippets in sandboxed VMs or rootless modes to verify they function and match the prompt.
• Check for best practices: multi-stage builds, minimal base images, non-root users, efficient layer caching, and small context sizes.
• Identify security and compliance issues: privilege escalation risks, hard-coded secrets, outdated base images, vulnerable packages (CVE hygiene).
• Use scanning tools and CI knowledge to reproduce issues and confirm fixes (Trivy, Grype, Dockle; GitHub Actions/GitLab CI pipelines).
• Flag inaccurate annotator ratings and supply clear, actionable remediation notes for each failing review.
• Ensure every validated review meets the project rubric and ticketing/annotation workflow expectations.

Requirements

Candidates must meet the substantive technical and communication qualifications listed below. These are requirements drawn from the project brief and will be used to screen applicants.

• Experience: 7+ years in DevOps, SRE, or container-focused engineering with regular code-review duties.
• Docker mastery: deep knowledge of Dockerfile syntax, multi-stage builds, image-slimming, BuildKit, and Docker Compose workflows.
• Security & compliance: proven ability to spot privilege escalation, hard-coded secrets, vulnerable packages, outdated bases, and root-user pitfalls.
• CI/CD & toolchain: proficient with GitHub Actions or GitLab CI, container scanning tools (Trivy, Grype, Dockle), and registry management.
• Testing & debugging: skilled at reproducing build failures, analyzing layer diffs, and improving cache and context performance.
• Proof-of-work validation: comfortable running containers in sandboxed VMs or rootless modes to confirm functional compliance.
• Structured QA: experience with rubric-based scoring, ticketing systems, and annotation workflows.
• Communication: excellent written English (B2+ CEFR) for clear, actionable feedback and mentoring annotators.

Nice-to-Have Skills

These extras are valuable but not required; include them on your application if applicable.

• Kubernetes awareness (Helm, Kustomize, container runtime nuances such as containerd or CRI-O).
• Experience with LLM evaluation, RLHF pipelines, or other AI/ML data-labeling projects.

Who Should Apply

Apply if you enjoy hands-on container engineering, security auditing, and mentoring reviewers to raise annotation quality. This role suits people who can balance technical rigor with concise written feedback and who have prior experience validating build and runtime behavior.

How It Works

Selected reviewers will receive access to the project’s annotation interface (labeling software: OTHER/custom) and will follow a project-specific rubric for scoring and remediation. You will run builds in isolated sandboxes, record findings, and either approve or return annotator reviews with concise remediation notes.

Work is paid hourly as a contractor. You’ll coordinate with project leads through the platform’s ticketing workflow and are expected to follow security procedures for sandboxed execution.

• Time commitment: 20+ hours per week, flexible scheduling within project timelines.
• Employment type: Contractor, part-time. Worldwide applicants welcome.

Compensation & Next Steps

Compensation for this project is $24 USD per hour. If your background matches the requirements, apply with examples of Docker-related code-review work and a short note about relevant tooling experience.

Applications should highlight past code review or security-audit contributions, CI/CD familiarity, and instances of providing actionable remediation notes or mentoring peers.