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Remote Environmental Science Jobs in North Carolina

DataAnnotation

Decision Scientist

Raleigh, NC · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... research environment -- such as data science, statistics, economics, finance, physics, biology ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Apex Companies

Environmental Market Leader

Charlotte, NC · On-site +1

$114.30K - $118.20K/yr

Remote within South Atlantic Geography Position Overview The Environmental Market Leader - South Atlantic Division is a highimpact, growthoriented leadership role responsible for expanding Apex ...

Apex Companies

Environmental Market Leader

Charlotte, NC · On-site +1

$114.30K - $118.20K/yr

Remote within South Atlantic Geography Position Overview The Environmental Market Leader - South Atlantic Division is a high‑impact, growth‑oriented leadership role responsible for expanding Apex ...

The Hartford

Data Scientist

Charlotte, NC · On-site +1

$90.16K - $135.24K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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Remote Environmental Science information

See North Carolina salary details

$37.3K

$76.5K

$111.8K

How much do remote environmental science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote environmental science in North Carolina is $76,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $89,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 North Carolina? The most popular types of Environmental Science jobs in North Carolina are:
What are popular job titles related to Remote Environmental Science jobs in North Carolina? For Remote Environmental Science jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Science jobs in North Carolina look for? The top searched job categories for Remote Environmental Science jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Environmental Science jobs? Cities in North Carolina with the most Remote Environmental Science job openings:
Remote Environmental Science jobs near you
Infographic showing various Remote Environmental Science job openings in North Carolina as of May 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,451 per year, or $36.8 per hour.
Decision Scientist

Decision Scientist

DataAnnotation

Raleigh, NC • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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