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How much do remote postdoc chemical engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote postdoc chemical engineering in the United States is $87,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $106,500.00 per year, depending on experience, location, and employer.
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Remote Postdoc Chemical Engineering jobs near you
Infographic showing various Remote Postdoc Chemical Engineering job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $87,487 per year, or $42.1 per hour.
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Baltimore, MD • Remote

$80 - $90/hr

Part-time

Posted 5 days ago

Key responsibilities

  • 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.

Job description

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

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply