Remote C# Software Engineer - AI Trainer

Location: Sainte-Julie

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 Super Annotate 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.

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.

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 Postgre

SQL; 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., Leet Code/Hacker Rank-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.