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PhD Engineer (Electrical, Mechanical, Chemical) | $80-$90/hr Remote

80–90/hr
Remote
Posted August 14, 2026
contract
25 openings

Overview

A remote contractor role for PhD level engineers in Electrical, Mechanical, or Chemical disciplines. Bring your deep domain knowledge to help train next generation AI systems by shaping learning, reasoning, and performance with high quality, real world inputs. Your expertise drives meaningful insights without needing prior AI experience.

What You'll Do7

  • 1Provide authoritative written responses to intricate engineering prompts within your specialty
  • 2Assess scientific literature to extract timely, accurate context and insights
  • 3Create and document realistic experimental scenarios grounded in advanced engineering principles
  • 4Process and interpret data to guide AI training datasets with precision
  • 5Apply advanced calculus and quantitative methods to solve problems
  • 6Ensure all submissions are clear, precise, and complete according to guidelines
  • 7Partner with project coordinators to fine tune the quality of prompts and outputs

Requirements6

  • 1Earned a PhD in Electrical, Mechanical, or Chemical Engineering
  • 2Proven skill in calculus, data analysis, research methodology, and experimental design
  • 3Strong written and spoken communication for explaining complex ideas clearly
  • 4Solid ability to perform literature reviews and synthesize scientific knowledge
  • 5Interest in AI, machine learning, or tech-driven projects is a plus
  • 6Demonstrated capability to deliver high-quality, comprehensive results

Who Should Apply

The ideal candidate thrives at the intersection of deep technical expertise and clear science communication. You should enjoy translating complex concepts into practical, well-documented outputs and be comfortable working remotely as a contract contributor.

Salary Insight

Hourly rate ranges from $80-$90 depending on experience and expertise.

Location

TypeRemote
LocationRemote
This is a remote position

Required Skills

CalculusData Analysis & InterpretationLiterature ReviewExperimental DesignResearch Methodology

Application Tip

Prepare a brief, concrete sample that showcases how you would respond to a complex engineering prompt in your field, including references to current literature.

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