Remote AI Data Scientist & Model QA Expert

YO AI Labs; Town of Texas (WI); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote work

Job summary

YO AI Labs is seeking an AI Data Science Domain Expert to review and refine AI-generated content. You will develop prompts, conduct rubric-based assessments, and perform independent research to validate technical information.

Remote, part-time contractor role requiring strong writing, data interpretation, and attention to detail. Experience in data annotation and QA for AI training is preferred.

Qualifications

• Experience in evaluating and refining AI-generated content.
• Ability to create and assess prompts for AI models.
• Ability to perform rubric-based assessments and provide feedback.
• Strong research and fact-checking capabilities.
• Experience with data annotation and QA for AI training.
• Proficiency in technical documentation and reporting.

Responsibilities

• Review, edit, and refine AI-generated content for accuracy and relevance.
• Develop prompts and optimize prompts to improve model performance.
• Conduct rubric-based assessments and provide structured feedback.
• Perform independent research to validate technical information.
• Annotate data and support QA initiatives for AI training.
• Prepare clear technical reports and summaries from analyses.
• Collaborate remotely with project teams to improve AI models.

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

Research Paper Writing

Analytical Reporting

Job description

YO AI Labs is seeking an AI Data Science Domain Expert to review and refine AI-generated content. You will develop prompts, conduct rubric-based assessments, and perform independent research to validate technical information.

Remote, part-time contractor role requiring strong writing, data interpretation, and attention to detail. Experience in data annotation and QA for AI training is preferred.