PhD Engineer (Electrical, Mechanical, Chemical)
micro1
$80 – $90/hour · as listed
PhD Engineer (Electrical, Mechanical, Chemical) — AI Data Work
micro1 is seeking advanced-level engineers with PhD credentials in electrical, mechanical, or chemical engineering to support AI training and development work. This remote position is based in the US and involves applying your specialized domain expertise to help train and refine AI systems. No prior AI experience is required — your technical background and ability to work with complex technical content is what qualifies you for this role.
Your responsibilities will center on analyzing, interpreting, and annotating technical and specialized materials to create high-quality training data. You'll review detailed documentation, assess accuracy and clarity, identify inconsistencies or ambiguities, and prepare summaries that explain complex concepts for diverse audiences. Work is conducted remotely through digital platforms and requires clear written and verbal communication of your findings.
This is contractor-level work suited to engineers with strong analytical skills, meticulous attention to detail, and the ability to break down intricate technical language. Compensation is listed at $80–$90 per 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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