AI Data Science Domain Expert
This role is hiring through micro1, not NeonLabs. The description below is micro1’s own wording from their official listing, so "we" and "our" refer to micro1.
About this role
Role Title: AI Data Science Domain Expert
Role Type: Contractor (Part Time)
Location: Remote
micro1 is engaging AI Data Science Domain Experts to participate in a customer's project focused on advancing AI technology through high-caliber, domain-informed contributions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required , your domain knowledge is what matters. This contract is ideal for specialists who routinely develop or review research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations. An analytical mindset, meticulous attention to detail, and excellent written communication are essential as you craft, evaluate, and refine prompts, assess AI outputs, and ensure robust data quality.
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.
Key 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
Details
- Company: micro1
- Location: Remote
- Eligible locations: Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan and 52 more
- Platform: micro1
Apply directly through micro1 using the link below. micro1 hires experts for remote, flexible roles training and evaluating frontier AI systems.
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