Remote AI Data Science Content Reviewer

YO AI Labs; New York (NY); Remote; USD 83,000 - 131,000; Part time

Job summary

YO AI Labs is seeking experienced AI Data Science Domain Experts to review and refine AI-generated content, improving model accuracy and reasoning. This contractor, part-time remote role, emphasizes data interpretation, rubric-based evaluation, and high-quality technical writing.

Collaboration with remote teams will drive iterative improvements to AI workflows. The role values data science expertise, analytical thinking, and strong communication skills.

Qualifications

• Proven ability to review and refine AI-generated content for technical accuracy.
• Experience producing or reviewing research papers, analytical reports, or data-driven recommendations.
• Strong written communication and ability to summarize complex technical content.

Responsibilities

• Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
• Develop, optimize, and evaluate prompts to improve AI model performance.
• Conduct rubric-based assessments of AI outputs and provide structured feedback.
• Perform independent research and fact-checking to validate technical information.
• Annotate data and support quality assurance initiatives for AI training.
• Interpret complex datasets and prepare clear technical reports and summaries.
• Collaborate remotely with project teams to improve AI models and workflows.

Skills

Critical Thinking

Analytical Reasoning

Prompt Engineering

AI Output Evaluation

Quality Assurance

Technical Documentation

Technical & Report Writing

Content Review & Editing

Data Annotation

Data Interpretation

Fact Checking

Independent Research

Problem-Solving

Attention to Detail

Education

Master's, MBA, PhD, or other advanced degree

Job description

YO AI Labs is seeking experienced AI Data Science Domain Experts to review and refine AI-generated content, improving model accuracy and reasoning. This contractor, part-time remote role, emphasizes data interpretation, rubric-based evaluation, and high-quality technical writing.

Collaboration with remote teams will drive iterative improvements to AI workflows. The role values data science expertise, analytical thinking, and strong communication skills.