C# Engineer

This is an hourly-paid, fully remote contractor role where you will review AI-generated responses and/or generate C#/.NET engineering content, evaluating reasoning quality and step-by-step problem-solving. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical claims; and rate/compare multiple responses based on correctness and reasoning quality. You will also produce high-quality explanations and model solutions that demonstrate correct methods and clear communication. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs—your work directly helps improve the world’s premier AI models.

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.

Your profile

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
• 2+ years of professional experience using C#.
• Strong experience with C# and the .NET ecosystem (ASP.NET Core, Web APIs, async/await, LINQ).
• Knowledge of relational databases and data access patterns (SQL Server and/or PostgreSQL; EF Core and/or Dapper).
• Experience with modern engineering practices and tooling (Git, CI/CD, Docker).
• Strong advantage: experience solving Medium–Hard algorithmic problems (e.g., LeetCode/HackerRank-style).
• Strong English writing skills; Minimum C1 English proficiency.
• Highly detail-oriented, able to spot subtle logical/technical issues and explain corrections clearly.
• Preferred: prior experience with AI data training, evaluation, annotation, or technical QA of model outputs.
• Able to work as an hourly, remote contractor with reliable internet and consistent availability.

Key responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.