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# AI Data Scientist Expert - Remote

- **Company:** Harvey Nash
- **Location:** Cary, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Data Analysis, Machine Learning, Prompt Engineering, Data Analytics
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.com/jobad/usc33596ebc6af4014c0a99d8e07899c02

## About the Role

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., * 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.

## Description

* 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.


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