Senior C# Engineer AI Training

Role Description

As a Senior C# Engineer AI Training, you will remotely review AI-generated C# code, .NET application designs, and technical explanations. Your responsibilities include generating high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to prompts, identifying errors in logic, memory usage, concurrency, threading, or performance. This role also involves fact-checking technical information, writing high-quality explanations and model solutions that demonstrate correct methods, and rating/comparing multiple AI responses based on correctness and reasoning quality.

This is a fully remote, hourly paid contractor role with SME Careers, a rapidly expanding AI data services company and subsidiary of SuperAnnotate. SME Careers provides AI training data to many of the world’s largest AI companies and foundation model labs. Your expertise in C# and .NET will directly contribute to improving premier AI models used by millions of developers globally.

Your Profile

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C#, including backend services, APIs, or desktop/server-side applications.
• Expert-level proficiency in C# and the .NET ecosystem, with a strong understanding of memory management, garbage collection, async/await, threading, and exception handling.
• Strong background in software engineering and systems concepts, including concurrency, multithreading, performance optimization, and application architecture.
• Hands-on experience with .NET tooling, including Visual Studio or Rider, build systems (MSBuild, dotnet CLI), debuggers, and profilers.
• Minimum C1 English proficiency (written and spoken), capable of writing clear technical explanations and following detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards, best practices, and maintainability in C# codebases.
• Comfort working with version control systems, CI/CD workflows, and automated testing frameworks (e.g., xUnit, NUnit, MSTest).
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C# code.

Key Skills/Competency

• C#
• .NET Ecosystem
• AI Training
• Code Review
• Software Engineering
• Concurrency
• Performance Optimization
• Technical Explanations
• Version Control Systems
• Automated Testing