Data Scientist for AI Model Training

SaidGig; New York (NY); Remote; USD 138,000 - 276,000; Part time

Job summary

SaidGig is seeking a remote, part-time data science specialist to help improve AI systems through content review, prompt development, model evaluation, and data-quality work.

You will review and refine AI outputs, develop prompts, and produce data-driven reports. Prior AI experience is not required, but strong communication and analytical skills are essential.

Qualifications

• 3+ years of professional data science or analytics experience.
• Experience producing or reviewing research papers, analytical reports, or technical documentation.
• Strong written and quantitative communication skills.
• Advanced professional communication skills.

Responsibilities

• Review and refine AI-generated content and data outputs for accuracy and relevance.
• Develop prompts to guide AI models toward desired results.
• Evaluate model performance using rubrics and provide actionable feedback.
• Conduct independent research to validate facts and improve data quality.
• Annotate data and uphold QA standards.
• Produce clear reports and technical summaries from analyses.

Skills

Data science

Prompt engineering

Data annotation

Report writing

Education

Master's degree

Job description

Apply data science expertise to help improve next-generation AI systems through rigorous content review, prompt development, model evaluation, and data-quality work. This remote, part-time contract role is designed for specialists who produce or review research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations. Prior AI experience is not required.

Key Responsibilities

• Review, edit, and refine AI-generated content and data outputs for accuracy, clarity, and relevance using domain knowledge and project-specific rubrics.
• Develop and improve prompts that guide AI models toward desired results.
• Evaluate AI model performance using rubrics, providing structured feedback and improvement recommendations.
• Conduct independent research to validate facts, improve data quality, and support content evaluation.
• Annotate data, fact-check outputs, and uphold analytical and quality-assurance standards.
• Interpret complex datasets and findings, producing clear, actionable reports and technical summaries.
• Collaborate asynchronously with project leads and other domain experts to share insights and best practices.

Qualifications

• 3+ years of professional experience in data science, machine learning, applied AI, statistics, quantitative analytics, or data analytics.
• Experience producing or reviewing research papers, analytical reports, experiment summaries, notebooks, or technical documentation.
• Strong analytical reasoning, critical thinking, attention to detail, and written and quantitative communication skills.
• Advanced professional, report-writing, business, or technical communication skills.
• Experience with data annotation, content review, or rubric-based evaluation is highly desirable.
• Prompt engineering, AI output evaluation, fact-checking, or RLHF experience is beneficial but not required.
• A master's degree, JD, MBA, PhD, or other advanced degree is preferred.

Work Terms

Remote, part-time independent contractor engagement. Work focuses on a customer project advancing AI technology through high-quality, domain-informed contributions.

Compensation

$100 to $200 per hour.