🌎 AI Data Science Domain Expert - Remote, Contract

Role Title: AI Data Science Domain Expert Role Type: Contractor (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.