Job Description

This role applies advanced statistical expertise to produce high-quality training data and evaluations that improve how next-generation AI systems learn, reason, and perform. You will create authoritative answers, detailed explanations, and benchmark responses that guide model behavior and support interpretability. Key Responsibilities

• Produce authoritative, accurate, and well-explained responses to advanced statistics queries, prioritizing clarity and depth.
• Review and evaluate statistical data, queries, and candidate solutions for accuracy, completeness, and alignment with best practices.
• Develop comprehensive explanations and justifications across foundational and specialized statistics topics, adapted for varied technical backgrounds.
• Collaborate with annotation leads and project managers to clarify requirements and maintain high quality standards for responses.
• Create exemplary golden responses that serve as benchmarks for model outputs and future annotations.
• Document context and rationale behind answers to improve model interpretability and support downstream annotation.
• Participate in remote discussions or workshops to align on project objectives and resolve ambiguous cases.

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

• Role type, contractor.
• Location, remote.
• Compensation is output-based; experts are paid per task that meets project specifications.
• Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
• Time to complete tasks will vary by experience and workflow.

• Pay range: 90 to 120 hourly.
• Payment is task-based, paid for work that meets the project standards.

• Roles are typically filled within 48 hours; candidates who can begin quickly are preferred.
• If selected, you will complete onboarding and are expected to start your first tasks within 24 to 48 hours after onboarding is finished.
• The selection process includes vetting to confirm expertise and alignment with project needs, followed by a brief onboarding before task assignment.

• No prior experience in AI is required, the primary requirement is deep domain knowledge in statistics.
• This engagement is for independent contractors working remotely. Specific work authorization or other eligibility requirements will be confirmed during vetting.

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