AI Data Science Expert - Remote

YO AI Labs

Austin (TX)

Remote

USD 83,000 - 96,000

Part time

10 days ago

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Job summary

YO AI Labs is seeking an AI Data Science Domain Expert to remotely contribute expertise on refining AI-generated content and improving model performance. You will review technical outputs, craft prompts, and provide structured feedback.

Ideal candidates have 3+ years in data science or related fields, strong writing skills, and experience with data annotation or evaluation rubrics. This contractor, part-time role supports distributed teams and AI enhancement work.

Qualifications

  • Experience reviewing or producing analytical content and reports.
  • Familiarity with data annotation or evaluation rubrics is a plus.
  • Strong written communication skills required.

Responsibilities

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

Education

3+ years Data Science / ML / Analytics
Advanced degree preferred

Tools

N/A

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key 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.
Required 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
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.
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