C# Quality Assurance Lead (QAL)

Parailabs; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

SME Careers is seeking a C# Quality Assurance Lead for an hourly, remote contractor role. You will oversee quality across C# AI training projects, review AI-generated C# code, and provide precise feedback to ensure code correctness, performance, and security.

You’ll also guide trainers and reviewers on rubric adherence and best practices. The position involves coordinating with remote contributors, addressing questions on .NET, async/await, and DI, and contributing to QA process improvements and

Qualifications

• 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.

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.
• Onboarding: Run onboarding/training calls for C# contributors.
• Process improvement: Identify recurring gaps and improve QA workflows.

Skills

C#/.NET development

QA / code review

Remote team leadership

English communication

Education

Bachelor's or Master’s in Computer Science/Software Engineering

Tools

Visual Studio

GitHub

CI/CD

Docker

Azure/AWS

Entity Framework Core

Job description

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.

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 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.

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.

Responsibilities

• Quality monitoring: Spot-check C# items, identify quality issues, provide feedback through DMs, and escalation 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.

Requirements

• 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, GitHub, 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, GitHub, 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.

Eligible countries: The United States