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.

Why Work with SME Careers?

• Be a part of a forward-thinking team and help us train AI to communicate more effectively.
• Shape the Future of AI

  Your work directly contributes to how AI systems learn and communicate.

• Your Schedule, Your Rules

  Set your own hours and work around your life.

• Weekly Pay

  Receive fast, reliable payments once work is approved.

• Community Rewards

  Get rewarded for referrals with ongoing bonus income.

• 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.

• 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).
• 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.

Required

Work arrangement: Fully remote

Applicant eligibility: 17 eligible countries