{"html":"<p>In this hourly, remote contractor role, you will work as a C# Quality Assurance Lead (QAL) 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.</p>\n<p>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.</p>\n<p>This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, 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.</p>\n<p>Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.</p>\n<p>Important:\nThere 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.</p>\n<h3>Responsibilities</h3><ul><li>Quality monitoring: Spot-check C# items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.</li><li>Code review: Evaluate AI-generated C# code, .NET snippets, API examples, debugging responses, tests, architecture explanations, and step-by-step reasoning.</li><li>Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C#-specific review standards.</li><li>Question handling: Respond to questions around .NET behavior, async/await, LINQ, dependency injection, EF Core, testing, security, and rubric interpretation.</li><li>Activation management: DM inactive contributors, track follow-ups, and flag availability issues.</li><li>Documentation: Create and maintain C# style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.</li><li>Onboarding: Run onboarding/training calls for C# contributors.</li><li>Risk review: Flag insecure, misleading, non-executable, or non-production-ready C#/.NET recommendations.</li><li>Process improvement: Identify recurring gaps and improve QA workflows.</li></ul><h3>Requirements</h3><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional software engineering experience.</li><li>Strong grasp of English to follow guidelines and provide clear technical feedback.</li><li>3+ years of professional experience in C#/.NET development, backend engineering, enterprise software, cloud development, code review, QA, or technical mentoring.</li><li>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.</li><li>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.</li><li>Familiarity with .NET, ASP.NET Core, Entity Framework Core, xUnit/NUnit/MSTest, Visual Studio/Rider, NuGet, Azure/AWS, Docker, GitHub, CI/CD, and logging/observability tools is preferred.</li><li>Experience leading or supporting remote teams of trainers, reviewers, engineers, coding mentors, or QAs is strongly preferred.</li><li>Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.</li><li>Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.</li><li>Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus.</li></ul>"}