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Remote Computational Materials Science Jobs (NOW HIRING)

Mercor

AI Research Scientist - GenAI

New York, NY · Remote

$70 - $100/hr

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

Mercor

Research And Development Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

Azulene Labs

Chemical Physics (Enhanced Sampling, MLIPs) Bay Area preferred; exceptional remote candidates ... PhD in chemical physics, chemistry, physics, materials science, or related field * Strong ...

New

Mercor

STEM Research Scientist - PhD

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

IonQ

Staff Scientist - Quantum Applications

... materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company ... You will play a key role in developing core IP, computational resource models, long-term roadmaps ...

Mercor

Research Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

24-MAG LLC

$75 - $110/hr

About the job Remote | Physical Sciences Research Expert - $75-$110/hour We are sharing a ... Background in one or more areas such as physics, chemistry, materials science, earth science ...

24-MAG LLC

$65 - $100/hr

... materials and verifiable criteria Computational Mathematics & Structured Feedback * Create or ... A degree or professional background in mathematics, applied mathematics, statistics, data science ...

Jobgether

... materials science, logistics, cybersecurity, and AI. You will collaborate with scientists ... Flexible work arrangements with remote, hybrid, or onsite options across Europe * Comprehensive ...

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All JobsRemote Computational Materials Science Jobs

Remote Computational Materials Science information

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$56.5K

$83.1K

$98K

How much do remote computational materials science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational materials science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computational Materials Scientist, and why are they important?

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

What is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What is the difference between Remote Computational Materials Science vs Remote Materials Data Analyst?

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

More about Remote Computational Materials Science jobs
What cities are hiring for Remote Computational Materials Science jobs? Cities with the most Remote Computational Materials Science job openings:
What are the most commonly searched types of Computational Materials Science jobs? The most popular types of Computational Materials Science jobs are:
What states have the most Remote Computational Materials Science jobs? States with the most job openings for Remote Computational Materials Science jobs include:
What job categories do people searching Remote Computational Materials Science jobs look for? The top searched job categories for Remote Computational Materials Science jobs are:
Remote Computational Materials Science jobs near you
Infographic showing various Remote Computational Materials Science job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 10% Full Time, and 85% Part Time. Highlights an 2% Physical, and 98% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

AI Research Scientist - GenAI

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Posted 19 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
  • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.