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Why this grade This listing scored 34/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: PhD Engineer (Electrical, Mechanical, Chemical)
Role Type: Contractor
Location: Remote
micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. 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
- Deliver authoritative written responses to complex engineering prompts in your area of expertise
- Review and interpret scientific literature to provide contextually accurate and current insights
- Design and document realistic experimental scenarios based on advanced engineering principles
- Analyze data and interpret results to inform AI training datasets with precision
- Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
- Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
- Collaborate with project coordinators to refine prompt response quality as needed
Preferred Qualifications
- PhD in Electrical, Mechanical, or Chemical Engineering
- Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
- Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
- Strong literature review capabilities and familiarity with synthesizing scientific knowledge
- Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
- Proven ability to produce "golden response" level deliverables with accuracy and completeness
- Detail-oriented mindset and commitment to high-quality, impactful contributions
Originally posted on Himalayas
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Where this listing came from
- 04 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.