Go Quality Assurance Lead

As a Go Quality Assurance Lead, you will review AI-generated Go code and trainer QA work. You will assess whether responses are accurate, clear, consistent, and aligned with project rubrics.

You will also provide written feedback, support trainers and QAs, maintain Go-specific guidance, and help improve quality processes for Go AI training projects.

• Review Go coding responses, debugging answers, backend snippets, concurrency examples, tests, API implementations, and technical explanations.
• Check for code that does not compile, incorrect concurrency patterns, goroutine leaks, race conditions, weak error handling, inefficient logic, hallucinated APIs, and security concerns.
• Evaluate correctness, runtime behavior, readability, maintainability, performance, test coverage, formatting, instruction-following, and rubric adherence.
• Support onboarding, calibration, FAQs, honeypots, style guides, trackers, and other quality documentation.
• Monitor recurring issues and help build scalable QA processes for Go AI training work.

What It Pays and Takes

This is a remote contractor role focused on Go AI training projects. The role is listed at an intermediate experience level and is available as part-time contract work.

• Pay: Up to $70 per hour.
• Time: 20 or more hours per week.
• Location: United States.
• Language: Strong English communication skills.
• Required: Professional experience in Go development, backend engineering, code review, software QA, or technical mentoring.
• Required: Knowledge of goroutines, channels, interfaces, structs, methods, slices, maps, pointers, error handling, context, packages, modules, and testing.
• Required: Ability to assess work against detailed rubrics and identify correctness, safety, and maintainability issues.
• Tools and workflows: go test, gofmt, go vet, the race detector, HTTP servers, REST APIs, gRPC, Docker, Kubernetes, SQL drivers, GitHub, and CI/CD.
• Preferred: Experience working with remote teams.
• Helpful: Experience leading or supporting trainers, annotators, reviewers, engineers, coding mentors, or QAs.
• Helpful: Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind artificial intelligence, including reviewing model responses and preparing examples that help systems improve. Experienced reviewers are paid to apply careful judgment to areas such as code correctness, safety, and quality.