Role Title: AI Data Science Domain Expert
Role Type: Contract (Part Time)
Location: Remote
Required Skills
Critical thinking
Analytical reasoning
Attention to detail
Quality assurance
Written communication
Technica documentation
Prompt authoring & refinement
AI Output Evaluation
Professional Writing
Report Writing
Business Communication
Problem Solving
Content Review
Data Interpretation
Logical Resoning
Professional Editing
Independent Research
Data Annotation
Rubric-Based Evaluation
Content Evaluation
AI Model Evaluation
Fact Checking
RLHF
Technical Editing
Prompt Engineering
Scope of Work
Review, edit, and refine AI-generated content and data outputs for accuracy, clarity, and relevance based on domain knowledge and project-specific rubrics.
Develop and optimize prompts to steer AI models towards desired outputs, leveraging professional writing and technical documentation skills.
Conduct rubric-based evaluation of AI model performance, providing structured feedback and suggestions for improvement.
Perform independent research to validate facts, enhance data quality, and support robust content evaluation processes.
Contribute to quality assurance efforts by annotating data, fact-checking outputs, and ensuring adherence to analytic standards.
Interpret and summarize complex datasets or findings into clear, actionable reports and technical summaries.
Collaborate asynchronously with project leads and other domain experts to share insights and best practices.
Preferred Qualifications
3+ years of professional experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
Proven track record of producing or reviewing research papers, analytical reports, experiment summaries, notebooks, or technical documentation.
Exceptional analytical reasoning, critical thinking, and attention to detail in written and quantitative deliverables.
Advanced proficiency in professional writing, report writing, and business or technical communication.
Experience with data annotation, content review, or rubric-based evaluation is highly desirable.
Background in prompt engineering, AI output evaluation, fact checking, or RLHF (Reinforcement Learning from Human Feedback) is advantageous but not required.
Master's, JD, MBA, PhD, or other advanced degree preferred; contributors from highly selective universities, leading technology companies, or research organizations are strongly encouraged to express interest.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

.png)
