AI trainer
micro1
$100 – $180/hour · as listed
As an AI trainer at micro1, you'll contribute specialized expertise to help develop and refine AI systems used in US tax compliance and legal interpretation. Your work involves analyzing and annotating complex tax documents—including Internal Revenue Code sections, Treasury Regulations, and individual tax returns—then creating clear explanations that help AI models learn to understand nuanced legal language and statutory rules. You'll review materials for accuracy, flag inconsistencies, and draft summaries that bridge technical legal concepts for diverse audiences.
This intermediate-level AI data work suits Certified Public Accountants with strong US tax expertise and experience interpreting legal documents. Your domain knowledge in accounting and tax law is what matters most; no prior AI training experience is required. You'll collaborate remotely with the team through digital platforms, delivering written annotations and detailed feedback.
This is a contractor position based in India, offering $100–$180/hour as listed. The role is fully remote and focuses on building high-quality datasets that shape how AI systems reason about complex tax compliance scenarios.
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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