C# Quality Assurance Lead (QAL)

Job Summary

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

This role involves reviewing AI-generated C# 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 C# training content is accurate, executable, idiomatic, secure, maintainable, and clearly explained.

Key Responsibilities

Quality Monitoring

• Spot-check C# 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:

  • C# applications
  • .NET code snippets
  • API implementations
  • Debugging responses
  • Unit tests
  • Architecture explanations
  • Technical reasoning

• Assess work for:

  • Code correctness
  • Runtime behavior
  • Type safety
  • Async behavior
  • Security
  • Performance
  • Maintainability
  • Test coverage

Trainer & QA Communication

• Communicate updates regarding:
  • Guidelines
  • Workflow changes
  • C# review standards
  • Quality expectations

Contributor Support

• Answer questions involving:
  • .NET runtime behavior
  • async/await
  • LINQ
  • Dependency Injection
  • Entity Framework Core
  • Testing frameworks
  • 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:
  • Incorrect logic
  • Non-executable code
  • Weak type safety
  • Poor error handling
  • Flawed async implementation
  • Security risks
  • 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:

  • C# development
  • .NET development
  • Backend engineering
  • Enterprise software
  • Cloud development
  • Code review
  • QA
  • Technical mentoring

• Strong understanding of:

  • C# syntax
  • Object-Oriented Programming
  • LINQ
  • Generics
  • Collections
  • Exceptions
  • async/await
  • Tasks
  • Dependency Injection
  • Nullable Reference Types
  • Records
  • Delegates and Events
  • .NET runtime behavior

• Ability to identify:

  • Logic errors
  • Non-executable code
  • Async issues
  • Security vulnerabilities
  • Weak type safety
  • Hallucinated APIs

Preferred Qualifications

• Experience with:

  • .NET
  • ASP.NET Core
  • Entity Framework Core
  • xUnit
  • NUnit
  • MSTest
  • Azure
  • AWS
  • Docker

• Familiarity with:

  • GitHub
  • CI/CD systems
  • NuGet
  • Logging tools
  • Observability platforms

• 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.