Statistics Expert (PhD)

Role Title: Statistics Expert (PhD)

Role Type: Contractor

Location: Remote

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

1. 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.
2. Review and evaluate statistics data, queries, and solutions to ensure accuracy, completeness, and alignment with current best practices.
3. Develop comprehensive explanations and justifications across both foundational and specialized statistics concepts, tailored for a range of technical backgrounds.
4. Collaborate with annotation leads and project managers to refine project requirements and maintain high standards for response quality.
5. Create exemplary "golden responses" that serve as benchmarks for future AI model outputs, ensuring reliability and consistency in training datasets.
6. Document the context and rationale behind answers to enhance model interpretability and facilitate future annotation efforts.
7. Participate in remote discussions or workshops to clarify objectives and maintain alignment within the contributor community.

Preferred Qualifications

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