🌎 AI Data Science Domain Expert - Remote, Contract
Xperteez Technology- Location
- Global
- Workplace
- Remote
- Employment
- Contract
- Salary
- USD 100–200/hr
Posted 28d ago
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.
Skills
- RLHF
- Prompt Engineering
- Machine Learning
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