Materials Engineer | Up to $200K Annually

Mercor; United Kingdom; Hybrid; GBP 68,000 - 153,000; Full time

Job summary

A leading technology company is seeking an AI Tutor – Materials Science Specialist. The role involves labelling and annotating data to support AI training in materials science. Candidates must have a Master's or PhD and expertise in relevant fields. This position offers competitive compensation between $90K and $200K annually, with options for in-office or remote work.

Benefits

Access to medical benefits

Flexible work hours

Competitive pay

Qualifications

• Deep expertise in materials science subfields such as energy materials or nanomaterials.
• Ability to work independently and apply sound judgment.
• Genuine interest in technological innovation and AI development.

Responsibilities

• Label, annotate, and evaluate materials science data using proprietary tools.
• Support creation of high-quality datasets for AI training.
• Analyze and solve problems to improve model performance.

Skills

Expertise in semiconductors

Research and data analysis

Strong written and spoken English

Critical thinking

Organizational skills

Education

Master’s degree or PhD in materials science

Job description

Materials Engineer | Up to $200K Annually

1 day ago Be among the first 25 applicants

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$90,000.00/yr - $200,000.00/yr

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: AI Tutor – Materials Science Specialist

Type: Full-time

Compensation: $90,000–$200,000/year

Location: Palo Alto, CA (in‑office, 5 days per week) or Remote

Commitment: Typical hours: 9:00am–5:30pm PST during training, then adjusted to your local time zone

Role Responsibilities

• Use proprietary tools to label, annotate, and evaluate materials science–related data.
• Support the creation of high‑quality datasets for advanced AI training.
• Collaborate with technical teams to develop and refine annotation systems and workflows.
• Analyze and solve problems across diverse materials science subfields to improve model reasoning and performance.
• Interpret evolving instructions and deliver accurate, consistent results under minimal supervision.

Qualifications

Must‑Have

• Master’s degree or PhD in materials science, physics, chemistry, chemical engineering, or a closely related field.
• Deep expertise in areas such as semiconductors, energy materials, nanomaterials, alloys, ceramics, biomaterials, or polymers.
• Strong command of written and spoken English in both professional and informal contexts.
• Skilled in research, data analysis, and use of scientific databases and digital resources.
• Excellent communication, critical thinking, and organizational skills.
• Ability to work independently and apply sound judgment to complex, technical challenges.
• Genuine interest in technological innovation and AI development.

Preferred

• Publications or patents demonstrating expertise in materials science, preferably with first‑author research papers in peer‑reviewed journals.
• Teaching or tutoring experience in scientific or technical subjects.
• Prior experience in AI data annotation or technical writing.
• Experience mentoring or guiding others in scientific research or materials analysis.

Compensation & Legal

• Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.
• Access to medical benefits, subject to your country of residence.

Application Process

• Submit your resume.
• Complete a 20‑minute introductory interview.
• Selected candidates will move on to a focused materials science data evaluation exercise.
• Finalists will participate in a team discussion and review of their expertise.
• The full process typically concludes within one week.

Resources & Support

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

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