In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
• Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
• Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
• Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
• Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
• Document context and rationale behind answers to assist model interpretability and future annotation efforts.
• Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Work arrangement: Fully remote

• Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.