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OpenTrain AIFor AI Companies

Senior Docker Code Reviewer

Review and run AI-generated Dockerfiles and container-orchestration code for correctness, security, and best practices at $24 per hour. This flexible, remote contract is open to candidates in India, the Philippines, and Vietnam.

OpenTrain AI

Coding & Software

Remote Hourly · $24/hr

$24/hr

Compensation

3 countries

Eligibility

Intermediate

Experience

Jul 8, 2025

Posted

Open to applicants in

India Philippines Vietnam

Interested in this role?

Create a free OpenTrain account and apply in minutes.

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors to help evaluate the code that teaches next-generation AI systems how to produce more reliable technical responses.

  • Remote contract work with flexible scheduling
  • Part-time commitment of 20+ hours per week
  • Apply through OpenTrain and build experience in AI training

About AI Code Training

AI training is the human side of building artificial intelligence. Technical reviewers assess model-generated code, identify errors, and provide structured feedback so future systems can produce safer and more useful results.

  • Work directly with AI-generated programming responses
  • Use human expertise to improve model accuracy and reliability
  • Contribute to a fast-growing field at the cutting edge of technology

The Role

OpenTrain AI is looking for a Senior Docker Reviewer who combines senior DevOps engineering skills with security-audit experience. You will validate annotator reviews of AI-generated Dockerfiles and container-orchestration snippets, ensuring that each review meets the project's quality rubric.

  • Pay: $24 per hour
  • Workload: 20+ hours per week
  • Contractor, part-time engagement
  • Available to candidates in India, the Philippines, and Vietnam
  • Working language: English

What You'll Do

For each submission, you will build and run the image in an isolated environment. You will verify that the code follows the prompt, functions correctly, and reflects container best practices. When annotator ratings are inaccurate, you will flag them and provide concise remediation notes.

  • Review Dockerfiles and container-orchestration snippets generated by AI
  • Check multi-stage builds, minimal base images, non-root users, and efficient layer caching
  • Assess CVE hygiene and identify vulnerable packages or outdated base images
  • Spot privilege escalation, hard-coded secrets, and root-user pitfalls
  • Reproduce build failures and analyze layer differences
  • Evaluate cache behavior, build context size, and performance
  • Run containers in sandboxed virtual machines or rootless modes
  • Apply structured scoring and annotation workflows consistently
  • Help protect the container-focused data used to train future AI models

Requirements

This role requires substantial container and DevOps experience, regular code-review responsibility, and the ability to provide clear, actionable written feedback. The listed experience profile is senior-level, while the project is classified as intermediate.

  • 7+ years of experience in DevOps, SRE, or container-focused engineering
  • Regular experience conducting code reviews
  • Deep knowledge of Dockerfile syntax, multi-stage builds, and image slimming
  • Experience with Docker Compose and BuildKit workflows
  • Expertise identifying container security and compliance issues
  • Proficiency with GitHub Actions or GitLab CI
  • Experience using Trivy, Grype, or Dockle
  • Familiarity with container registry management
  • Skill reproducing build failures, analyzing layer diffs, and tuning performance
  • Excellent written English at B2 or higher on the CEFR scale
  • A proven record of mentoring peers on container best practices

Preferred Experience

Additional platform knowledge can help you assess a wider range of container submissions and runtime behavior. These qualifications are useful but are not stated as mandatory.

  • Familiarity with Kubernetes
  • Experience with Helm and Kustomize
  • Understanding of containerd and CRI-O runtime nuances
  • Comfort working with rubric-based scoring, ticketing systems, and annotation workflows
  • Experience with LLM evaluation, RLHF pipelines, or AI and machine-learning data-labeling projects

Why This Work Matters

Every major AI system depends on examples prepared and reviewed by people. By testing generated code and documenting precise failures, you will help shape how AI systems handle real-world software, infrastructure, and security tasks.

  • Use specialized Docker and DevOps knowledge in AI development
  • Work remotely with a flexible part-time schedule
  • Help improve the safety and usefulness of generative AI code

How to Apply

Create a free OpenTrain account to apply for this contractor opportunity. OpenTrain helps people discover AI training projects, build a professional profile, and begin contributing to the people-powered work behind modern AI.

  • Confirm that you are located in India, the Philippines, or Vietnam
  • Review the 20+ hour weekly commitment
  • Highlight your Docker, DevOps, security, CI/CD, and code-review experience

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.