Senior Go Code Reviewer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover opportunities to teach and improve AI systems and apply in minutes.

• Create an OpenTrain account for free.
• Work on cutting-edge AI development through a flexible contract opportunity.
• Apply through OpenTrain for this role.

About AI Training Work

AI training is the human side of building artificial intelligence. People review model-generated content, identify errors, and provide structured feedback so next-generation systems become more accurate, useful, secure, and reliable.

In this role, your Go engineering judgment will help evaluate AI-generated programming responses and protect the quality of the data used to train future AI models.

• Contribute to the development of modern AI systems.
• Use specialized technical expertise in a human-feedback and evaluation workflow.
• Work remotely with flexible scheduling common to AI training projects.

The Role

OpenTrain AI is seeking a Senior Go Code Reviewer to audit annotator reviews of AI-generated Go code. For each submission, you will build and run the snippet in a sandbox, verify that it satisfies the prompt and functions correctly, and assess secure coding and performance practices.

You will correct mis-ratings and provide clear, actionable feedback. Each review must meet the quality rubric and help protect the integrity of AI training data.

• Role type: Contractor and part-time.
• Pay: $24 USD per hour.
• Time requirement: 20+ hours per week.
• Languages: English.
• Eligible countries: India, the Philippines, and Vietnam.
• Listed experience level: Intermediate.

What You’ll Do

Your reviews will combine hands-on execution, code analysis, and structured quality assurance. You will assess Go implementations across concurrency, error handling, memory safety, security, performance, and compliance with the original prompt.

• Build and execute Go snippets in sandboxed environments.
• Confirm that submissions satisfy the stated prompt.
• Verify functional correctness and review implementation quality.
• Evaluate goroutines, channels, error handling, and memory safety.
• Identify incorrect annotator ratings and correct them.
• Write clear, actionable feedback for each correction.
• Apply the project’s quality rubric and checklist consistently.
• Help protect training data for next-generation AI models.

Required Qualifications

This opportunity is designed for experienced Go professionals with strong code-review, quality assurance, or software development backgrounds. You should be able to independently validate code by compiling, running, testing, and analyzing it in a sandboxed environment.

• 5–7+ years of professional Go development, QA, or dedicated code-review experience.
• Deep knowledge of Go 1.18+, including generics, modules, the standard library, and build tooling.
• Proven expertise with goroutines, channels, select statements, mutexes, and profiling tools such as pprof and trace.
• Advanced use of the testing package, table-driven tests, benchmarks, the race detector, and Go modules.
• Ability to detect and mitigate Go security issues involving input validation, injection, race conditions, and dependency vulnerabilities.
• Proficiency with Docker, multi-stage builds, GitHub Actions, GitLab CI, Prometheus, and Grafana.
• Comfort compiling and executing code in sandboxed environments to validate functional compliance.
• Experience with rubric-based scoring, checklist reviews, and ticketing or annotation tools such as Jira and Asana.
• Excellent written English at B2+ CEFR, with the ability to provide constructive feedback and mentor peers.

Nice-to-Have Experience

Experience in AI evaluation is helpful, particularly if you have worked with language model assessment, reinforcement learning from human feedback, or data-labeling workflows.

• Exposure to LLM evaluation.
• Experience with RLHF pipelines.
• Prior participation in AI or machine-learning data-labeling projects.

Who Should Apply

Apply if you are a strong Go engineer who enjoys finding subtle correctness, security, and performance issues and explaining them clearly. This role suits professionals who can combine deep technical judgment with disciplined, rubric-based review.

• Senior Go developers with substantial production experience.
• Go QA specialists and dedicated code reviewers.
• Engineers comfortable testing code rather than relying only on static inspection.
• Technical reviewers who communicate precise, actionable feedback in English.
• Candidates located in India, the Philippines, or Vietnam who can commit to 20+ hours weekly.

How It Works

As an OpenTrain contractor, you will review AI-generated Go programming submissions according to the project rubric. The work combines code execution, technical evaluation, rating correction, and written feedback, with a part-time commitment of at least 20 hours per week.

AI training projects are often flexible and remote, making it possible to contribute around other responsibilities while applying specialized expertise to the fast-growing AI industry. Apply through OpenTrain to be considered.

• Review submissions against the provided prompt and quality standards.
• Run and validate code in a sandbox.
• Correct ratings and document your reasoning.
• Earn $24 USD per hour for approved work under the contractor arrangement.