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Remote Chemical Engineer Internship Jobs (NOW HIRING)

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Remote Chemical Engineer Internship information

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$40K

$87.5K

$140K

How much do remote chemical engineer internship jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote chemical engineer internship 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.
What cities are hiring for Remote Chemical Engineer Internship jobs? Cities with the most Remote Chemical Engineer Internship job openings:
What are the most commonly searched types of Remote Chemical Engineer jobs? The most popular types of Remote Chemical Engineer jobs are:
What states have the most Remote Chemical Engineer Internship jobs? States with the most job openings for Remote Chemical Engineer Internship jobs include:
Infographic showing various Remote Chemical Engineer Internship job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $87,487 per year, or $42.1 per hour.
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Louisville, KY • Remote

$80 - $90/hr

Part-time

Posted 12 days ago


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