This opportunity is ideal for engineers who enjoy analyzing systems, improving code quality, and working on complex technical challenges. You will contribute to AI training projects by evaluating outputs, refining logic, and identifying potential vulnerabilities.

What You'll Do:

• Develop objective, verifiable evaluation criteria (rubrics) for system performance
• Review system logs and execution paths to improve reliability and code quality
• Refactor code and optimize system behavior toward ideal outcomes
• Test systems for vulnerabilities, including data exposure and edge-case failures
• Provide detailed, high-quality feedback on system performance and outputs

Requirements:

• 2+ years of experience in backend engineering, AI automation, or systems integration
• Strong proficiency in at least two programming languages (e.g., Pytho...