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Remote Chemical Engineer Student Jobs (NOW HIRING)

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Remote Chemical Engineer Student information

See salary details

$40K

$87.5K

$140K

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

As of Jun 30, 2026, the average yearly pay for remote chemical engineer student 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 is the difference between Remote Chemical Engineer Student vs Remote Chemical Engineer Intern?

AspectRemote Chemical Engineer StudentRemote Chemical Engineer Intern
Required CredentialsEnrolled in a chemical engineering programEnrolled in or recent graduate of chemical engineering program
Work EnvironmentPart-time, flexible, remote learning supportPart-time or full-time remote work, project-based
Employer & Industry UsageEducational institutions, research projects, industry trainingChemical companies, manufacturing, R&D departments
Search & Comparison IntentLearning opportunities, educational rolesPractical experience, industry exposure

The main difference is that a Remote Chemical Engineer Student is typically enrolled in a program and seeks educational support or research roles, while a Remote Chemical Engineer Intern is a recent or current intern gaining practical industry experience. Both roles involve remote work but differ mainly in their focus on education versus industry application.

More about Remote Chemical Engineer Student jobs
What cities are hiring for Remote Chemical Engineer Student jobs? Cities with the most Remote Chemical Engineer Student job openings:
What are the most commonly searched types of Chemical Engineer Student jobs? The most popular types of Chemical Engineer Student jobs are:
What states have the most Remote Chemical Engineer Student jobs? States with the most job openings for Remote Chemical Engineer Student jobs include:
Infographic showing various Remote Chemical Engineer Student job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. 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.
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Seattle, WA • Remote

$80 - $90/hr

Part-time

Posted 6 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