Go Quality Assurance Lead (QAL)

Job Summary

As a Go Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across Go AI training projects.

This role involves reviewing AI-generated Go code, evaluating trainer and QA outputs, maintaining quality standards, and ensuring training data aligns with project requirements and client expectations.

Your work will directly contribute to improving advanced AI systems by ensuring Go training content is accurate, executable, idiomatic, efficient, secure, and clearly explained.

Key Responsibilities

Quality Monitoring

• Spot-check Go programming tasks and QA outputs
• Identify recurring quality issues and performance gaps
• Provide actionable written feedback and escalate critical concerns

Code Review

• Review and evaluate:

  • Go applications
  • Backend services
  • API implementations
  • Concurrency examples
  • Debugging responses
  • Unit tests
  • Technical explanations

• Assess work for:

  • Compile-time validity
  • Runtime correctness
  • Concurrency safety
  • Error handling
  • Security awareness
  • Performance
  • Maintainability
  • Test coverage

Trainer & QA Communication

• Communicate updates regarding:
  • Guidelines
  • Workflow changes
  • Go-specific review standards
  • Quality expectations

Contributor Support

• Answer questions involving:
  • Go syntax
  • Goroutines
  • Channels
  • Interfaces
  • Context usage
  • Error handling
  • Testing
  • Performance
  • Security practices
  • Rubric interpretation

Activation Management

• Follow up with inactive contributors
• Track engagement and participation
• Report contributor availability concerns

Documentation & Onboarding

• Create and maintain:

  • Style guides
  • Documentation
  • FAQs
  • Examples
  • Calibration tasks
  • Onboarding materials

• Conduct onboarding and training sessions for contributors

Risk & Quality Review

• Identify and flag:
  • Non-compilable code
  • Incorrect concurrency patterns
  • Goroutine leaks
  • Race conditions
  • Weak error handling
  • Inefficient implementations
  • Hallucinated APIs
  • Non-production-ready recommendations

Process Improvement

• Improve QA workflows and review processes
• Identify recurring quality gaps and implement corrective actions

Required Qualifications

• Bachelor's or Master's degree in:
  • Computer Science
  • Software Engineering
  • Information Technology

or equivalent professional experience.

• Strong English communication skills

• Minimum 3 years of experience in:

  • Go development
  • Backend engineering
  • Cloud services
  • Distributed systems
  • DevOps tooling
  • Code review
  • Software QA
  • Technical mentoring

• Strong understanding of:

  • Goroutines
  • Channels
  • Interfaces
  • Structs
  • Methods
  • Slices
  • Maps
  • Pointers
  • Error handling
  • Context
  • Packages and modules
  • Testing
  • Idiomatic Go development

• Ability to identify:

  • Concurrency issues
  • Goroutine leaks
  • Race conditions
  • Weak error handling
  • Non-compilable code
  • Hallucinated APIs

Preferred Qualifications

• Experience with:

  • go test
  • gofmt
  • go vet
  • Race Detector
  • REST APIs
  • gRPC
  • Docker
  • Kubernetes

• Familiarity with:

  • Go modules
  • SQL drivers
  • GitHub
  • CI/CD systems
  • Cloud-native architectures

• Experience leading:

  • Engineers
  • Trainers
  • Reviewers
  • QA teams
  • Remote contributors

• Experience with:

  • AI training
  • Data annotation
  • LLM evaluation
  • Rubric-based code review

Why Join

• Help improve leading AI systems through technical quality assurance
• Flexible remote schedule
• Weekly payments
• Referral rewards and community incentives
• Access to future opportunities through SME Careers' expert network

Selection Process

1. AI Interview
2. Domain-Specific Assessment
3. Recruiter Interview

Important Note

There is currently no active project for this role. Qualified candidates will be added to the expert network and contacted when relevant opportunities become available.