... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...
Material Science information
See Ontario salary details
$22K - $33K
11% of jobs
$39.8K is the 25th percentile. Wages below this are outliers.
$33K - $44K
22% of jobs
$44K - $55K
14% of jobs
The median wage is $58K / yr.
$55K - $66K
11% of jobs
$66K - $77K
11% of jobs
$86.2K is the 75th percentile. Wages above this are outliers.
$77K - $88K
6% of jobs
$88K - $99K
4% of jobs
$99K - $110K
9% of jobs
$110K - $121K
4% of jobs
$121K - $132K
4% of jobs
$132K - $143K
2% of jobs
$22K
$70.1K
$143K
How much do material science jobs pay per year?
As of Aug 10, 2026, the average yearly pay for material science in Ontario is $70,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $96,500.00 per year, depending on experience, location, and employer.
What jobs can you do with material science?
Material science graduates can pursue careers as materials engineers, research scientists, quality control analysts, or product development specialists. These roles involve analyzing, testing, and developing materials such as metals, polymers, ceramics, and composites, often requiring knowledge of laboratory techniques and computer-aided design tools.
What are the key skills and qualifications needed to thrive in a material science position, and why are they important?
To thrive in Material Science, you need a solid background in physics, chemistry, materials engineering, and problem-solving, usually supported by at least a bachelor's degree in materials science or a related discipline. Familiarity with scientific instrumentation, materials characterization software, and quality control systems is often required, along with certifications such as Six Sigma or experience with ISO standards. Strong analytical thinking, clear communication, and collaborative skills distinguish outstanding professionals in this field. These competencies enable effective research, innovation, and seamless teamwork in developing and optimizing new materials for various industries.
How hard is it to get a job in material science?
Securing a job in material science can be competitive and typically requires a relevant degree such as a bachelor's or master's in materials science, engineering, or related fields. Strong skills in laboratory techniques, data analysis, and familiarity with tools like microscopy or spectroscopy can improve employment prospects, which may also involve internships or research experience.
What are some typical projects and day-to-day tasks in a material science position?
Material Science professionals often engage in researching, testing, and developing new materials or improving existing ones to meet specific industry needs. Typical tasks might include preparing and analyzing material samples, conducting experiments in labs, interpreting test data, and collaborating closely with engineering or product development teams. You may also be involved in troubleshooting manufacturing processes or supporting quality assurance efforts. These roles frequently require documenting findings, presenting results, and contributing to cross-departmental meetings, making every day varied and dynamic. Many positions offer hands-on involvement as well as opportunities for cross-functional teamwork.
What is a material science?
A Material Science job involves researching, developing, and testing materials to improve their properties for various applications. Material scientists work with metals, ceramics, polymers, and composites to enhance performance in industries like aerospace, healthcare, and manufacturing. They analyze the structure and properties of materials to innovate and create new products or improve existing ones. These professionals often collaborate with engineers and manufacturers to ensure materials meet required standards for durability, sustainability, and cost-effectiveness.
What jobs can I get with a material science degree?
A material science degree qualifies individuals for roles such as materials engineer, research scientist, quality control analyst, and product development engineer. These jobs often require knowledge of materials properties, testing methods, and proficiency with tools like microscopy and spectroscopy, with opportunities in industries like aerospace, automotive, electronics, and manufacturing.
Is material science a good career?
Material science is a viable career that involves studying and developing materials such as metals, polymers, ceramics, and composites for various industries. It often requires strong knowledge of chemistry, physics, and engineering, and offers opportunities in research, manufacturing, and product development with steady demand. Job prospects can be enhanced through advanced degrees and proficiency with tools like microscopy and spectroscopy.
What are the most commonly searched types of Material Science jobs in Ontario? The most popular types of Material Science jobs in Ontario are:
What job categories do people searching Material Science jobs in Ontario look for? The top searched job categories for Material Science jobs in Ontario are:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Materials Scientist / Engineer
$80 - $130/hourpay
Required Skills
materials science expertise
materials characterization
technical literature review
scientific data interpretation
clear written and verbal communication
remote collaboration
annotating technical datasets
scenario and case study development
quality assurance in scientific deliverables
analytical skills
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Role Title: Materials Scientist / Engineer
Role Type: Contractor
Location: Remote
micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials 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
- Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.
- Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.
- Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.
- Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
- Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
- Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.
- Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.
Preferred Qualifications
- MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.
- Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).
- Strong analytical skills and experience interpreting complex scientific data.
- Substantial experience conducting technical literature reviews and summarizing key findings.
- Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
- Experience with quality assurance and review of scientific documents or datasets.
- Familiarity with remote collaboration tools and digital knowledge-sharing environments.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
About micro1
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Palo Alto, CA, US