Go QA Lead - Remote
About the role
This is an hourly, remote contractor role as a Go Quality Assurance Lead. The position involves overseeing quality, consistency, and trainer performance across Go AI training projects. The role is part of a fast-growing AI Data Services company that delivers training data for major AI companies and foundation-model labs.
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.
Respond to trainer/QA questions around Go syntax, concurrency, error handling, context usage, interfaces, testing, performance, security, and rubric interpretation.
Schedule and run onboarding/training calls with contributors to explain project expectations, workflows, rubrics, and Go review standards.
Identify and flag insecure, misleading, non-compilable, race-prone, or non-production-ready Go recommendations.
Flag availability issues for inactive contributors and track follow-ups.
Create and maintain Go style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
Identify recurring quality gaps and help build scalable QA processes for Go AI training projects.
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.
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.