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Remote Environmental Science Jobs in Ontario (NOW HIRING)

Work independently in a Linux/terminal environment with remote compute sandboxes . Qualifications ... Background in scientific teaching or exam/problem-set design. * Experience with computational ...

Remote (with hybrid options in Toronto) Compensation: Hourly ($32) About Us: At Vosyn, we embrace ... Environmental Science, Economics, or a related field. Master's program enrollment or completion is ...

Showing results 21-40

Remote Environmental Science information

See Ontario salary details

$17.5K

$76.3K

$160.5K

How much do remote environmental science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote environmental science in Ontario is $76,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $100,500.00 per year, depending on experience, location, and employer.

What is a remote environmental science job?

A remote environmental science job is a position that allows professionals to work from locations outside of a traditional office or laboratory setting, often from home or while traveling. These roles typically involve tasks such as data analysis, report writing, remote sensing, consulting, and environmental monitoring using digital tools. Remote environmental scientists contribute to research, policy, and project management without needing to be physically present at field sites, although occasional site visits may be required. This flexibility allows for better work-life balance and can open opportunities to collaborate with global teams. Remote roles are increasingly common as technology enables more scientific work to be conducted virtually.

How do remote environmental science professionals typically collaborate with field teams and other stakeholders?

Remote environmental science professionals often rely on digital communication tools, such as video conferencing, cloud-based data sharing, and collaborative project management platforms, to stay connected with field teams and stakeholders. They may participate in regular virtual meetings to discuss project updates, analyze collected data, and coordinate research activities. Effective communication and strong organizational skills are essential to ensure alignment and successful project outcomes, even when team members are dispersed across different locations. Building strong professional relationships remotely and staying proactive in communication helps overcome challenges associated with working outside a traditional office or field setting.

What are the key skills and qualifications needed to thrive as a remote environmental scientist, and why are they important?

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental modeling systems is typically required, along with certifications like GIS Professional (GISP) or LEED accreditation. Strong communication, problem-solving, and self-management skills are crucial for collaborating with remote teams and stakeholders. These competencies enable effective environmental assessments, data-driven decision-making, and successful project outcomes from a remote work environment.

What is the difference between Remote Environmental Science vs Remote Environmental Technician?

AspectRemote Environmental ScienceRemote Environmental Technician
Required CredentialsBachelor's or higher in environmental science or related field; certifications varyAssociate's or bachelor's in environmental technology or related field; certifications may include safety or technical training
Work EnvironmentPrimarily office-based or remote; fieldwork may be occasionalMostly remote with some field site visits or technical tasks
Employer & Industry UsageEnvironmental consulting firms, government agencies, research institutionsEnvironmental service companies, government agencies, industrial firms
Common Search & ComparisonRemote Environmental ScienceRemote Environmental Technician

Remote Environmental Science roles focus on research, data analysis, and environmental planning, often requiring higher education and offering more analytical responsibilities. In contrast, Remote Environmental Technicians handle technical tasks, site assessments, and field data collection, typically with technical certifications. Both roles are vital in environmental projects but differ in scope, credentials, and daily tasks.

What are the most commonly searched types of Environmental Science jobs in Ontario?

The most popular types of Environmental Science jobs in Ontario are:

What are popular job titles related to Remote Environmental Science jobs in Ontario?

For Remote Environmental Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Science jobs in Ontario look for?

The top searched job categories for Remote Environmental Science jobs in Ontario are:

Infographic showing various Remote Environmental Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $76,284 per year, or $36.7 per hour.

Cosmology Specialist - Fully Remote | Upto $100/hr

Mercor

Toronto, ON โ€ข Remote

CA$100/hr

Full-time

This job post hasย expired 4 days ago.ย Applications are no longer accepted.


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: STEM Computational Scientific Software & Evaluation Design - Astrophysics & Cosmology
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries.
  • Evaluate AI systems' ability to solve research-grade problems, from querying simulations to interpreting outputs.
  • Develop experimental strategies to recover hidden information from data, emphasizing strategic reasoning.
  • Calibrate tasks against state-of-the-art AI models, refining problem designs to achieve target difficulty.
  • Work independently and asynchronously to iterate on problem designs based on calibration feedback.
  • Utilize astropy and related tools for cosmological calculations and observational data reduction.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Demonstrated proficiency with scientific software libraries, evidenced by research publications or professional work.
  • Strong Python programming skills for writing problem setups and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.