Kotlin Quality Assurance Lead (QAL)

Job Summary

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

This role involves reviewing AI-generated Kotlin 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 Kotlin training content is technically accurate, executable, idiomatic, maintainable, and clearly explained.

Key Responsibilities

Quality Monitoring

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

Code Review

• Review and evaluate:

  • Kotlin applications
  • Android code
  • JVM backend code
  • Coroutine workflows
  • Debugging responses
  • Unit tests
  • Integration tests

• Assess work for:

  • Code correctness
  • Type safety
  • Coroutine behavior
  • Security
  • Performance
  • Maintainability
  • Test coverage

Trainer & QA Communication

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

Contributor Support

• Answer questions involving:
  • Kotlin syntax
  • Null safety
  • Coroutines
  • Flows
  • Android development
  • JVM development
  • Testing
  • 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

Safety & Quality Review

• Identify and flag:
  • Non-executable code
  • Unsafe null handling
  • Incorrect coroutine usage
  • Non-idiomatic Kotlin
  • Flawed logic
  • Hallucinated APIs
  • Misleading implementation guidance

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:

  • Kotlin development
  • Android development
  • JVM backend development
  • Code review
  • QA
  • Technical mentoring

• Strong understanding of:

  • Kotlin syntax
  • Null safety
  • Data classes
  • Sealed classes
  • Generics
  • Extension functions
  • Collections
  • Lambdas
  • Coroutines
  • Flows
  • Exception handling
  • Java interoperability

• Ability to identify:

  • Incorrect coroutine usage
  • Unsafe null handling
  • Non-idiomatic Kotlin code
  • Non-executable code
  • Flawed logic
  • Hallucinated APIs

Preferred Qualifications

• Experience with:

  • Android
  • Jetpack Compose
  • Ktor
  • Spring Boot
  • Gradle
  • JUnit
  • MockK
  • Espresso
  • Kotlin Flow

• Familiarity with:

  • GitHub
  • CI/CD systems
  • Mobile architecture patterns

• Experience leading:

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

• Experience with:

  • AI training
  • LLM evaluation
  • Code QA
  • Rubric-based review workflows

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.