Statistician, PhD, for AI Model Training

SaidGig; New York (NY); Remote; USD 124,000 - 165,000; Full time

Job summary

SaidGig is seeking a remote contract statistician to apply advanced statistics expertise for AI training inputs. You will produce high-quality responses, evaluations, and benchmark materials to improve model learning, reasoning, and performance. Prior AI experience is not required.

The role emphasizes clear explanations of statistical concepts, cross-functional collaboration, and rigorous review of statistical data and solutions in a remote setting.

Qualifications

• PhD in Statistics or closely related field; expertise in core and advanced topics.
• Strong written and verbal communication; ability to explain complex statistics precisely.
• Experience creating or publishing scientific statistics materials.
• Knowledge across probability, inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
• Experience with MySQL and advanced data analysis techniques.
• Strong analytical attention to detail and ability to work remotely in cross-functional teams.

Responsibilities

• Produce authoritative, accurate responses to advanced statistics questions.
• Review data, queries, and solutions for accuracy and best practices.
• Develop explanations covering foundational and specialized statistical concepts.
• Create benchmark responses and document context and reasoning behind answers.
• Collaborate with annotation leads and project managers to refine requirements.
• Participate in remote discussions or workshops to stay aligned with the contributor community.

Skills

Statistical theory

Bayesian methods

Experimental design

Computational statistics

Education

PhD in Statistics

Tools

MySQL

Job description

Role Overview

Apply advanced statistics expertise to help train next-generation AI systems through accurate, well-reasoned technical input. This remote contract role focuses on producing high-quality responses, evaluations, and benchmark materials that improve how AI models learn, reason, and perform. Prior AI experience is not required.

Key Responsibilities

• Produce authoritative, accurate, and clearly explained responses to advanced statistics questions, prioritizing clarity and depth.
• Review statistics data, queries, and solutions for accuracy, completeness, and alignment with current best practices.
• Develop explanations and justifications covering foundational and specialized statistical concepts for varied technical audiences.
• Create benchmark responses for future AI outputs and document the context and reasoning behind answers to support interpretability and future annotation.
• Collaborate with annotation leads and project managers to refine requirements and uphold quality standards.
• Participate in remote discussions or workshops to clarify objectives and remain aligned with the contributor community.

Qualifications

• PhD in Statistics or a closely related field, with demonstrated expertise in core and advanced statistical topics.
• Strong written and verbal communication skills, including the ability 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.
• Knowledge across areas such as probability theory, statistical inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
• Experience with MySQL and advanced data analysis techniques.
• Strong analytical attention to detail, methodological rigor, and ability to work effectively in remote, cross-functional settings.
• Experience in AI, data annotation, or digital content development is helpful but not required.

Work Terms

• Remote contractor engagement.
• Compensation is output-based and paid per task that meets project specifications. Completion time may vary based on experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks each week.
• Roles are typically filled within 48 hours. Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing onboarding.

Compensation

$90 to $120 per hour.