C# QA Lead - Remote

In this hourly, remote contractor role, you will work as a C# Quality Assurance Lead to oversee 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. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your C# quality leadership will help ensure C# training data is accurate, executable, idiomatic, secure, clearly explained, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Job Title: C# Quality Assurance Lead

Job Type: Contract

Location: Remote

In this hourly, remote contractor role, you will work as a C# Quality Assurance Lead to oversee 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. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your C# quality leadership will help ensure C# training data is accurate, executable, idiomatic, secure, clearly explained, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional software engineering experience.
• Strong grasp of English to follow guidelines and provide clear technical feedback.
• 3+ years of professional experience in C#/.NET development, backend engineering, enterprise software, cloud development, code review, QA, or technical mentoring.
• Strong understanding of C# syntax, OOP, LINQ, generics, collections, exceptions, async/await, tasks, dependency injection, nullable reference types, records, delegates/events, and .NET runtime behavior.
• Ability to identify issues such as incorrect logic, non-executable code, flawed async usage, poor error handling, weak type safety, security risks, hallucinated APIs, or incomplete explanations.
• Familiarity with .NET, ASP.NET Core, Entity Framework Core, xUnit/NUnit/MSTest, Visual Studio/Rider, NuGet, Azure/AWS, Docker, Git Hub, CI/CD, and logging/observability tools is preferred.
• Experience leading or supporting remote teams of trainers, reviewers, engineers, coding mentors, or QAs is strongly preferred.
• Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, Git Hub, and PM systems.
• Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
• Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.

• Quality monitoring:
  Spot-check C# items, identify quality issues, provide feedback through DMs, and elevate recurring or critical issues.
• Code review:
  Evaluate AI-generated C# code, .NET snippets, API examples, debugging responses, tests, architecture explanations, and step-by-step…