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Remote Environmental Software Engineer Jobs in California

YO AI Labs

RL Environment Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Leidos

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/yr

... ocean remote sensing, and high-performance computing . We're looking for a Software Engineer ... Work in a collaborative environment that values technical rigor, creativity, and growth . Required ...

Gnostech LLC

Software Engineer II

San Diego, CA · On-site +1

$90K - $105K/yr

Hybrid or remote work is not authorized. Job Title: Software Engineer II Salary: $90,000-$105,000 ... CANES environment onboard ships. * Experience with applying modern software development ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

$166K - $235K/yr

You enjoy fast-paced entrepreneurial environments where you can solve difficult problems using ... Employee divides their time between in-office and remote work. Access to an office location is ...

Britive

Software Engineer

San Francisco, CA · On-site +1

... startup environment. This position will report to the Engineering Manager. Your Impact Key ... We are fully remote (US only, other areas are subject to review). * Competitive compensation and ...

Singular Genomics

Software Engineer

San Diego, CA · On-site +1

If remote, travel to the headquarters in San Diego, CA will be required at least quarterly ... Familiarity with Linux, HPC environments, and distributed job execution. * Experience with build ...

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Remote Environmental Software Engineer information

What is a remote environmental software engineer?

A Remote Environmental Software Engineer is a professional who develops and maintains software applications focused on solving environmental challenges, such as climate modeling, pollution tracking, or resource management. They work remotely, often collaborating with multidisciplinary teams from different locations. Their responsibilities typically include designing, coding, testing, and optimizing software tools that help organizations monitor and address environmental issues. This role requires strong programming skills, knowledge of environmental science, and the ability to work effectively in virtual environments.

What are the key skills and qualifications needed to thrive as a remote environmental software engineer?

To thrive as a Remote Environmental Software Engineer, you need a solid background in computer science, environmental science, and programming languages such as Python, R, or Java, often supported by a relevant degree. Familiarity with GIS tools, environmental modeling software, cloud-based collaboration platforms, and possibly certifications like AWS or GIS Professional are typically required. Strong problem-solving, self-motivation, and effective communication skills help you navigate remote teamwork and complex environmental data challenges. These abilities are crucial for developing accurate, scalable solutions that address real-world environmental issues while collaborating efficiently from a distance.

How does collaborating with cross-functional teams typically work for a remote environmental software engineer?

As a Remote Environmental Software Engineer, collaboration with cross-functional teams is primarily facilitated through digital communication tools such as video conferencing, project management platforms, and shared documentation. You will often work closely with environmental scientists, data analysts, and other engineers to translate technical requirements into software solutions. Regular virtual meetings and asynchronous updates help ensure everyone stays aligned, and clear documentation is vital for effective teamwork. Adapting to different time zones and communication styles can be challenging but is essential for project success.

What is the difference between Remote Environmental Software Engineer vs Remote Environmental Data Analyst?

AspectRemote Environmental Software EngineerRemote Environmental Data Analyst
Required CredentialsBachelor's in Software Engineering, Environmental Science, or related; coding skillsBachelor's in Environmental Science, Data Analysis, or related; statistical skills
Work EnvironmentDeveloping software solutions, coding, testing remotelyAnalyzing environmental data, creating reports remotely
Employer & Industry UsageTech companies, environmental agencies, NGOsResearch institutions, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding software development roles in environmental sectorUnderstanding data analysis roles in environmental sector

The Remote Environmental Software Engineer focuses on developing and maintaining software tools for environmental applications, requiring coding and software development skills. In contrast, the Remote Environmental Data Analyst specializes in interpreting environmental data to inform decisions, emphasizing data analysis and reporting. Both roles are vital in environmental sectors but differ in their core responsibilities and skill sets.

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

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

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

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

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

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

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

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

Remote Environmental Software Engineer jobs near you
Infographic showing various Remote Environmental Software Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

RL Environment Engineer - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 10 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.