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.
Responsibilities
- 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.
Requirements
- 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.
Nice to have
- 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.
Additional details
- Role Title: AI Data Science Domain Expert
- Role Type: Contractor (Part Time)
- Location: Remote
- Originally posted on Himalayas
Zobhira
