Remote Computer Science Expert; PhD

AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions  aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role

Title:

Computer Science Expert (PhD)

Role Type:
Contractor

Location:

Remote

$80 - $90 per hour

• Computer Science
• PhD
• Python
• Data Science

• 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.

• PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
• Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
• Experience in developing, 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 within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
• Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
• Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
• Strong collaboration skills, particularly in remote or cross-functional environments.

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.

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.