Go QA Lead - Remote
About the role
This is a remote contractor role as a Go Quality Assurance Lead overseeing quality, consistency, and trainer performance across Go AI training projects.
Responsibilities
Review AI-generated Go code and trainer/QA work, evaluating output quality against project guidelines and providing precise written feedback.
Evaluate work for code correctness, compile-time validity, runtime behavior, concurrency safety, error handling, readability, maintainability, performance, security awareness, test coverage, formatting, instruction-following, and adherence to project-specific rubrics.
Assess work for recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional software engineering experience.
Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
3+ years of professional experience in Go development, backend engineering, cloud services, distributed systems, DevOps tooling, code review, software QA, or technical mentoring.
Strong understanding of Go fundamentals such as goroutines, channels, interfaces, structs, methods, slices, maps, pointers, error handling, context, packages/modules, testing, and idiomatic Go style.
Ability to evaluate Go content against detailed rubrics and identify issues such as non-compilable code, incorrect concurrency patterns, goroutine leaks, race conditions, poor error handling, inefficient logic, hallucinated APIs, or incomplete explanations.
Familiarity with common Go tools and ecosystems such as go test, gofmt, go vet, race detector, Go modules, HTTP servers, REST APIs, gRPC, Docker, Kubernetes, SQL drivers, GitHub, CI/CD, and cloud-native workflows is preferred.
Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, coding mentors, or QAs is strongly preferred.
Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional software engineering experience.
Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
3+ years of professional experience in Go development, backend engineering, cloud services, distributed systems, DevOps tooling, code review, software QA, or technical mentoring.
Strong understanding of Go fundamentals such as goroutines, channels, interfaces, structs, methods, slices, maps, pointers, error handling, context, packages/modules, testing, and idiomatic Go style.
Ability to evaluate Go content against detailed rubrics and identify issues such as non-compilable code, incorrect concurrency patterns, goroutine leaks, race conditions, poor error handling, inefficient logic, hallucinated APIs, or incomplete explanations.
Familiarity with common Go tools and ecosystems such as go test, gofmt, go vet, race detector, Go modules, HTTP servers, REST APIs, gRPC, Docker, Kubernetes, SQL drivers, GitHub, CI/CD, and cloud-native workflows is preferred.
Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, coding mentors, or QAs is strongly preferred.
Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus.