Remote Computer Science Expert (PhD)

Computer Science Expert (PhD)$80 - $90/hourpay

Required Skills

Computer SciencePhDPythonData Science

About micro1

micro1 is the leading 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. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We 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

micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. 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.

Scope of Work

1. 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.
2. Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
3. Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
4. Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
5. Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
6. Document context and rationale behind answers to assist model interpretability and future annotation efforts.
7. Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications

1. PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
2. Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
3. Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
4. 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.
5. Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
6. Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
7. Strong collaboration skills, particularly in remote or cross-functional environments.