Computer Science PhD for AI Training

Apply your PhD-level computer science knowledge to produce authoritative explanations and benchmark answers that train and improve next-generation AI systems. This remote contractor role emphasizes deep domain expertise, clarity of explanation, and creation of high-quality training data and "golden responses" that set standards for model outputs. No prior AI experience is required, your computer science expertise is the primary qualification.

You will contribute subject-matter expertise to an AI training initiative that transforms real-world knowledge into training data, evaluations, and feedback loops. Contributions support improved model reasoning and performance across a range of computer science topics.

• Produce authoritative, accurate, and well-explained responses to advanced computer science questions for AI model improvement, prioritizing clarity and depth over rubric-based scoring.
• Review and evaluate computer science data, questions, and solutions to ensure accuracy, completeness, and alignment with current best practices.
• Develop comprehensive explanations and justifications across foundational and specialized computer science topics.
• Create exemplary "golden responses" that serve as benchmarks for model outputs.
• Document context and rationale behind answers to support model interpretability and future annotation work.
• Collaborate with annotation leads and project managers to refine task requirements and maintain high quality standards.
• Participate in remote discussions or workshops to clarify objectives and align with the contributor community.

• PhD in Computer Science or a closely related field, with robust expertise in both foundational and advanced topics.
• Required technical skills include strong knowledge of computer science, plus experience with Python and data science concepts.
• Proven ability to communicate complex computer science concepts precisely in written and verbal form.
• Experience creating, reviewing, or publishing scientific, technical, or educational computer science materials, such as research articles, curricula, industry reports, or peer reviews.
• Familiarity with multiple sub-disciplines, for example algorithms and theory, systems, artificial intelligence and machine learning, databases, networks, and security, and the ability to adapt explanations for different audiences.
• Exceptional attention to detail, analytical accuracy, and methodological rigor.
• Experience with AI, data annotation, or digital content development is advantageous but not required.
• Strong collaboration skills in remote or cross-functional settings.

• Role type, contractor. This is a remote engagement.
• Compensation is output-based, experts are paid per task that meets project specifications. A published pay rate range for the role is $80 - $90 per hour equivalent.
• Time to complete tasks will vary based on the expert''s experience and workflow.
• Minimum submission requirements apply. Experts must submit a minimum number of tasks per week, as specified by the project.
• Typical timeline, roles are often filled within 48 hours. If selected, you will complete onboarding and are expected to start your first tasks within 24 to 48 hours after onboarding is finished.

• Listed pay range, $80 - $90 per hour.
• Payment model, output-based pay, compensated per approved task that meets project specifications.

• Must be able to work as an independent contractor in a remote capacity.
• No prior experience in AI is required; domain expertise in computer science and required skills, including Python and data science, are essential.

Selected candidates will complete onboarding, after which they should be ready to begin tasks within 24 to 48 hours. Roles are typically filled quickly, often within 48 hours of application review. Onboarding prepares you to meet task specifications and minimum submission requirements. If you meet the qualifications and availability expectations, apply so you can be considered for rapid selection.