Remote PhD Statistician 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

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.