Statistician for AI Model Training

Apply advanced statistical expertise to help train next-generation AI systems by producing authoritative, well-explained answers and reference solutions that shape how models learn, reason, and perform. This is a remote, contractor role focused on delivering high-quality statistical content and evaluations rather than prior AI experience.

• Produce authoritative, accurate, and well-explained responses to advanced statistics queries, prioritizing clarity and depth.
• Review and evaluate statistical data, queries, and proposed solutions for accuracy, completeness, and alignment with current best practices.
• Develop comprehensive explanations and justifications across foundational and specialized statistics topics, tailored for audiences with varying technical backgrounds.
• Create exemplary "golden responses" that serve as benchmarks for model outputs and training datasets.
• Document the context and rationale behind answers to improve model interpretability and support future annotation work.
• Collaborate with annotation leads and project managers to refine project requirements and maintain response quality standards.
• Participate in remote discussions or workshops to clarify objectives and ensure alignment across the contributor community.

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

• Engagement type, contractor, remote.
• Compensation is output-based, with experts paid per task that meets project specifications. Stated hourly rate range is $90 to $120 per hour.
• Time required to complete tasks varies with each expert''s experience and workflow.
• Minimum submission requirements apply, experts must meet a required minimum number of tasks per week. The specific minimum will be provided during onboarding.
• Roles are typically filled quickly; candidates should be available to begin work on short notice.

Pay range: $90 to $120 per hour. Payment is task-based, meaning experts are compensated for each task that meets the project specifications. The amount of time required per task may vary by expert and task complexity.

• Candidates must be able to work as independent contractors and fulfill the remote collaboration and delivery expectations described above.
• We typically fill roles within 48 hours, and selected experts are expected to start their first tasks within 24 to 48 hours after completing onboarding.

If you apply and are selected, you will complete onboarding and then begin assigned tasks. Because roles fill quickly, be prepared to start within the timelines listed above. Specific onboarding details, task minimums, and next steps will be shared with applicants during the selection process.