AI training contract
AI Data Science Domain Expert
Business Operations · USD 100-200 an hour. · 15 openings
AI Data Science Domain Expert is contract work for micro1, reviewing and correcting what AI models produce in business operations. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 100 to USD 200 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 15 openings on this role.
Skills named: critical thinking, analytical reasoning, attention to detail, quality assurance, written communication, technica documentation, prompt authoring & refinement, AI Output Evaluation, Professional Writing, Report Writing.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.