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Remote Environmental Engineer Jobs in California

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We are inviting you to join our small, fully remote team of developers and operators helping make ... Develop and and maintain staging, testing, and developer environments that provide a uniform base ...

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S.) Duration: 12-Month ... Strong experience developing applications in AWS cloud environments. * Hands-on experience with:

Hired Recruiters

Senior Frontend Engineer

San Francisco, CA · On-site +1

$144K - $198K/yr

The Job As a Senior Frontend Engineer you'll contribute to major frontend features that our ... Experience working in an Agile & Remote environment * Experience working asynchronously with people ...

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All JobsEnvironmental Engineer JobsRemote Environmental Engineer JobsRemote Environmental Engineer Jobs in California

Remote Environmental Engineer information

See California salary details

$38K

$90K

$131.3K

How much do remote environmental engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote environmental engineer in California is $89,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $107,100.00 per year, depending on experience, location, and employer.

Can remote environmental engineers work remotely?

Remote environmental engineers can work remotely, especially for tasks such as data analysis, report writing, and project planning that do not require on-site presence. However, some roles may require fieldwork, site inspections, or laboratory work, which necessitate physical presence. The feasibility depends on the specific job responsibilities and employer policies.

Are remote environmental engineer jobs in demand?

Remote environmental engineer jobs are in increasing demand due to growing environmental regulations and the need for sustainable solutions. Employers seek professionals with skills in environmental assessment, data analysis, and familiarity with tools like GIS and modeling software. The role often requires relevant certifications and the ability to work independently in a virtual environment.

What skills and qualifications are needed to be a remote environmental engineer?

Remote Environmental Engineers need a solid background in environmental science or engineering, with a relevant degree and often professional certification such as a PE (Professional Engineer) license. Familiarity with GIS software, environmental modeling tools, and remote collaboration platforms is typically required. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for working independently and with distributed teams. These competencies ensure accurate assessments, regulatory compliance, and successful project delivery in a remote work environment.

What is a remote environmental engineer?

A Remote Environmental Engineer is a professional who works primarily from a location outside of a traditional office, using digital tools to design, implement, and manage projects that protect the environment. They may conduct environmental assessments, develop sustainability plans, and ensure compliance with environmental regulations, all while collaborating with teams and clients online. This role often involves data analysis, report writing, and virtual meetings to support environmental initiatives from a distance.

How do remote environmental engineers collaborate with on-site teams and stakeholders?

Remote Environmental Engineers often work closely with on-site teams, project managers, and regulatory agencies through virtual meetings, cloud-based project management tools, and frequent email or phone communication. They may review site data, analyze reports, and provide technical guidance from a distance, while relying on local staff for fieldwork and sample collection. Clear communication and strong organizational skills are essential to ensure projects remain on track and regulatory requirements are met. Building strong relationships remotely can be a challenge, but regular check-ins and proactive updates help foster effective teamwork.

Is there a demand for remote environmental engineers?

Remote environmental engineers are in increasing demand as companies and government agencies seek sustainable solutions and compliance with environmental regulations. Skills in data analysis, environmental modeling, and knowledge of regulatory standards enhance job prospects in this field, which often offers flexible work arrangements including remote options.

What are the most commonly searched types of Environmental Engineer jobs in California?

The most popular types of Environmental Engineer jobs in California are:

What are popular job titles related to Remote Environmental Engineer jobs in California?

For Remote Environmental Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Engineer jobs in California look for?

The top searched job categories for Remote Environmental Engineer jobs in California are:

What cities in California are hiring for Remote Environmental Engineer jobs?

Cities in California with the most Remote Environmental Engineer job openings:

Remote Environmental Engineer jobs near you
Infographic showing various Remote Environmental Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $89,997 per year, or $43.3 per hour.

RL Environment Software Engineer

talentpluto

San Francisco, CA • Remote

$220K - $400K/yr

Full-time

Re-posted 16 days ago

Job description

Location: Remote (United States)

Work Model: Remote

Industry: Applied AI / AI research data

Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)

About the Company

Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.

The Opportunity

As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.

You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.

Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

Apply