C# QA Lead - Remote

Key Responsibilities

• Quality monitoring: Spot-check C# items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Code review: Evaluate AI-generated C# code, .NET snippets, API examples, debugging responses, tests, architecture explanations, and step-by-step reasoning.
• Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C#-specific review standards.
• Question handling: Respond to questions around .NET behavior, async/await, LINQ, dependency injection, EF Core, testing, security, and rubric interpretation.
• Activation management: DM inactive contributors, track follow-ups, and flag availability issues.
• Documentation: Create and maintain C# style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding: Run onboarding/training calls for C# contributors.
• Risk review: Flag insecure, misleading, non-executable, or non-production-ready C#/.NET recommendations.
• Process improvement: Identify recurring gaps and improve QA workflows.

About the role

This is an hourly, remote contractor role at a fast-growing AI Data Services company. The role involves overseeing quality, consistency, and trainer performance across C# AI training projects. You will review AI-generated C# code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for code correctness, runtime behavior, .NET ecosystem awareness, type safety, async behavior, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction-following, and rubric adherence.