Statistics Expert (PhD)

About micro1

micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.

Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

Position

micro1 is engaging Statistics 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

• Produce authoritative, accurate, and well-explained responses to advanced statistics queries aimed at improving AI model performance, emphasizing clarity and depth over score-based metrics.
• Review and evaluate statistics data, queries, and solutions to ensure accuracy, completeness, and alignment with current best practices.
• Develop comprehensive explanations and justifications across both foundational and specialized statistics concepts, tailored for a range of technical backgrounds.
• Collaborate with annotation leads and project managers to refine project requirements and maintain high standards for response quality.
• Create exemplary "golden responses" that serve as benchmarks for future AI model outputs, ensuring reliability and consistency in training datasets.
• Document the context and rationale behind answers to enhance model interpretability and facilitate future annotation efforts.
• Participate in remote discussions or workshops to clarify objectives and maintain alignment within the contributor community.

Your qualification

• PhD in Statistics or a closely related field with demonstrated expertise in both core and advanced statistical topics.
• Exceptional written and verbal communication skills, with proven ability to convey complex statistical concepts with precision.
• Experience creating, reviewing, or publishing scientific, technical, or educational materials in statistics (e.g., research articles, curricula, industry reports, peer reviews).
• Familiarity across various sub-disciplines of statistics, such as probability theory, statistical inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
• Strong attention to analytical detail and a commitment to methodological rigor.
• Experience with MySQL and advanced data analysis techniques.
• Background in AI, data annotation, or digital content development projects is a plus, though not required.
• Demonstrated ability to collaborate effectively in remote and cross-functional project environments.

Additional details

Compensation Structure

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.

Start Timeline & Availability

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.