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Remote Science Jobs in Toronto, ON (NOW HIRING)

Micro1

Remote Materials Scientist / Engineer

Ajax, ON · Remote

... science expertise materials characterization technical literature review scientific data interpretation clear written and verbal communication remote collaboration annotating technical datasets ...

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

New

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Computer Science PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with large language ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must) Project ... The starting pay range for this remote role is $147,000.00-$245,000.00. This range reflects the ...

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Showing results 1-20

All JobsScience JobsRemote Science JobsRemote Science Jobs in Toronto, ON

Remote Science information

See Toronto, ON salary details

$23.9K

$81.8K

$155.1K

How much do remote science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote science in Toronto, ON is $81,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,717.00 and $115,475.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.
What are the most commonly searched types of Science jobs in Toronto, ON? The most popular types of Science jobs in Toronto, ON are:
What are popular job titles related to Remote Science jobs in Toronto, ON? For Remote Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Toronto, ON look for? The top searched job categories for Remote Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Science jobs? Cities near Toronto, ON with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Toronto, ON as of August 2026, with employment types broken down into 4% Internship, 78% Full Time, and 18% Part Time. Highlights an 100% Remote job distribution, with an average salary of $81,833 per year, or $39.3 per hour.

Remote Materials Scientist / Engineer

Micro1

Ajax, ON • Remote

Full-time

Posted 9 days ago

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
About micro1
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

  1. Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.
  2. Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.
  3. Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.
  4. Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
  5. Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
  6. Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.
  7. Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.


Preferred Qualifications

  1. MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.
  2. Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).
  3. Strong analytical skills and experience interpreting complex scientific data.
  4. Substantial experience conducting technical literature reviews and summarizing key findings.
  5. Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
  6. Experience with quality assurance and review of scientific documents or datasets.
  7. 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.


Apply