AI Data Science Domain Expert
micro1
$100 – $200/hour · as listed
AI Data Science Domain Expert – Tax Compliance & Legal Interpretation
micro1 is seeking advanced professionals to support AI training work focused on US tax compliance and legal interpretation. As an AI data science domain expert, you'll contribute specialized knowledge to help train AI systems that understand complex regulatory frameworks. Your role centers on writing and analytical work: reviewing and annotating US tax documents, analyzing sections of the Internal Revenue Code and Treasury Regulations, evaluating individual tax returns, and drafting clear explanations of intricate legal concepts. You'll identify inconsistencies in source materials and communicate findings through written summaries and collaborative feedback.
This remote position suits professionals with deep expertise in US tax law and strong writing skills. While no prior AI experience is required, you should bring a solid background in legal document analysis, tax regulation, and preferably an active Certified Public Accountant qualification. The work demands attention to detail, the ability to translate technical language for diverse audiences, and comfort working independently on a digital platform.
Remote, advanced level. Listed at $100–$200/hour.
From the listing: Role Title: Certified Public Accountant (India) Role Type: Contractor Location: India (Remote) micro1 is engaging Certified Public Accountants (India) to contribute to a customer’s project focused on US tax compliance and legal interpretation. 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. Scope of Work: Analyze, interpret, and annotate sections of the Internal Revenue Code (IRC) and related US Treasury Regulations, emphasizing nuanced statutory language and exceptions. Review and…
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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