[Hiring] AI Data Science Domain Expert @Xperteez Technology

Role Description

The AI Data Science Domain Expert will be responsible for reviewing, editing, and refining 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.

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.

Requirements

• Critical thinking
• Analytical reasoning
• Attention to detail
• Quality assurance
• Written communication
• Technical documentation
• Prompt authoring & refinement
• AI Output Evaluation
• Professional Writing
• Report Writing
• Business Communication
• Problem Solving
• Content Review
• Data Interpretation
• Logical Reasoning
• Professional Editing
• Independent Research
• Data Annotation
• Rubric-Based Evaluation
• Content Evaluation
• AI Model Evaluation
• Fact Checking
• RLHF
• Technical Editing
• Prompt Engineering