[Hiring] Coding Expert @YO AI Labs

Role Description

We are seeking skilled Coding Experts to contribute to a coding-focused project involving diverse programming challenges and real-world problem-solving. In this role, you will apply your programming and software development expertise to help train and evaluate advanced AI systems. You will analyze code, debug technical issues, assess AI-generated solutions, and provide detailed feedback to improve model performance. No prior AI experience is required. Your coding knowledge and technical expertise are what matter most.

• Analyze, interpret, and debug code snippets and technical documentation across Python, JavaScript, C++, Java, and SQL.
• Prepare clear and comprehensive explanations or annotations for code segments, ensuring technical accuracy and readability.
• Review, evaluate, and improve AI-generated solutions to software development challenges.
• Simulate real-world developer workflows by reading, executing, testing, and troubleshooting diverse codebases.
• Participate in extended, multi-turn technical conversations that require careful analysis and understanding of complex issues.
• Compare and evaluate multiple detailed responses to challenging coding prompts.
• Document findings and provide actionable feedback to support the continuous improvement of AI capabilities.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent hands-on software development experience (1+ year preferred).
• Advanced proficiency in Python, JavaScript, and C++.
• Proven ability to read, execute, and debug code in Python, JavaScript, Java, C/C++, and SQL.
• Native or near-native written English proficiency, with strong written and verbal communication skills.
• Experience analyzing lengthy, multi-step technical conversations and documentation.
• Previous experience in data annotation, code review, or technical content creation is a strong advantage.
• Ability to work independently, manage tasks effectively, and deliver quality results in a remote environment.