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Remote Climate Change Adaptation Jobs in California

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

As climate change increases the frequency and intensity of wildfires-with longer fire seasons ... We are a team of more than 175 people working in a hybrid-remote environment across North America ...

New

Pano

Head of Wildfire Affairs

San Francisco, CA · On-site +1

$175K - $210K/yr

As climate change increases the frequency and intensity of wildfires-with longer fire seasons ... We are a team of more than 175 people working in a hybrid-remote environment across North America ...

Pano

Platform Engineer

San Francisco, CA · On-site +1

$146K - $220K/yr

As climate change increases the frequency and intensity of wildfires-with longer fire seasons ... We are a team of more than 175 people working in a hybrid-remote environment across North America ...

Earthjustice

Legal Operations Manager

San Francisco, CA · On-site +1

... climate change. We are here because the Earth needs a good lawyer. Driven by a passion for justice ... This position can be remote from the contiguous US (including states we have offices in) or hybrid.

Earthjustice

Legal Operations Manager

San Francisco, CA · On-site +1

... climate change. We are here because the Earth needs a good lawyer. Driven by a passion for justice ... This position can be remote from the contiguous US (including states we have offices in) or hybrid.

Earthjustice

Legal Operations Manager

San Francisco, CA · On-site +1

... climate change. We are here because the Earth needs a good lawyer. Driven by a passion for justice ... This position can be remote from the contiguous US (including states we have offices in) or hybrid.

Insight M

General Opportunity

Sunnyvale, CA · Remote

... accelerates climate change. Since starting continuous survey operations in 2018, Insight M has ... remote positions in perpetuity. (We love it when kids make a cameo in a video call.) Insight M is ...

Guidewheel

Account Executive

San Francisco, CA · Remote

$85K - $100K/yr

About fighting climate change. About making a real impact * We use data to make decisions: We ... remote culture. Work from wherever, whenever - we hired you to get a job done, and as long as that ...

GEI Consultants

DWR Project Engineer

San Diego, CA · On-site +1

$36.06 - $55.76/hr

Remote working is possible after an initial period. Assignments are typically 1-2 years, after ... Some of the world's most pressing problems - from climate change to sustainable development, to ...

GEI Consultants

DWR Project Engineer

Oakland, CA · On-site +1

$36.06 - $55.76/hr

Remote working is possible after an initial period. Assignments are typically 1-2 years, after ... Some of the world's most pressing problems - from climate change to sustainable development, to ...

GEI Consultants

DWR Project Engineer

Pasadena, CA · On-site +1

$36.06 - $55.76/hr

Remote working is possible after an initial period. Assignments are typically 1-2 years, after ... Some of the world's most pressing problems - from climate change to sustainable development, to ...

GEI Consultants

DWR Project Engineer

Rancho Cordova, CA · On-site +1

$36.06 - $55.76/hr

Remote working is possible after an initial period. Assignments are typically 1-2 years, after ... Some of the world's most pressing problems - from climate change to sustainable development, to ...

Quartzy

Senior Territory Manager, Bay Area

San Francisco, CA · On-site +1

$105K - $125K/yr

From cancer research and climate change to winemaking and vegan cheese, our impact is broad and meaningful. You'll have the flexibility of remote work, the security of a profitable business, and the ...

GEI Consultants

DWR Project Engineer

Bakersfield, CA · On-site +1

$36.06 - $55.76/hr

Remote working is possible after an initial period. Assignments are typically 1-2 years, after ... Some of the world's most pressing problems - from climate change to sustainable development, to ...

Vibrant Planet

Infrastructure Engineer

Truckee, CA · Remote

$123K - $161K/yr

Vibrant Planet is backed by climate and resilience leaders including Grantham Foundation, Earthshot ... The role is fully remote and requires the ability to work effectively across a distributed team.

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All JobsClimate Change Adaptation JobsRemote Climate Change Adaptation JobsRemote Climate Change Adaptation Jobs in California

Remote Climate Change Adaptation information

What is a remote climate change adaptation specialist?

A Remote Climate Change Adaptation specialist is a professional who works—often from a location outside of the organization’s physical office—to help communities, businesses, or governments develop strategies to cope with the impacts of climate change. They assess vulnerabilities, design adaptation initiatives, and provide guidance on implementing solutions like infrastructure improvements or policy changes. Their work can involve data analysis, stakeholder engagement, and project management, all conducted through digital communication tools. This role is essential in helping societies become more resilient to climate risks, and it can be performed remotely thanks to advances in technology.

How does a remote climate change adaptation specialist typically collaborate with local stakeholders and field teams?

Remote Climate Change Adaptation specialists often work closely with local stakeholders, field teams, and partner organizations using digital communication tools like video conferencing, collaborative platforms, and cloud-based data sharing. Regular virtual meetings, detailed progress reports, and interactive workshops help ensure alignment and effective implementation of adaptation strategies. Building trust and maintaining strong communication is essential, as specialists must often bridge gaps between on-the-ground realities and technical planning. While physical site visits may be less frequent, establishing clear communication protocols and leveraging local contacts are key for successful collaboration.

What is the difference between Remote Climate Change Adaptation vs Remote Environmental Data Analyst?

AspectRemote Climate Change AdaptationRemote Environmental Data Analyst
Required CredentialsEnvironmental science, climate policy, or related degrees; certifications in climate resilienceEnvironmental science, data analysis, statistics; certifications in data tools or environmental analysis
Work EnvironmentResearch organizations, NGOs, government agencies; fieldwork and policy focusData-focused roles in tech firms, consulting, research institutions; primarily desk-based
Employer & Industry UsageClimate resilience projects, adaptation planning, environmental agenciesData analysis for environmental impact, research, and reporting

Remote Climate Change Adaptation involves developing strategies to help communities and ecosystems adjust to climate impacts, often requiring policy and environmental expertise. Remote Environmental Data Analysts focus on analyzing environmental data to inform decisions, typically working with large datasets and statistical tools. While both roles require environmental knowledge, adaptation specialists focus on practical implementation, whereas data analysts emphasize data interpretation. Both roles are vital in addressing environmental challenges but differ in focus and daily tasks.

What are the key skills and qualifications needed to thrive as a remote climate change adaptation specialist, and why are they important?

To thrive as a Remote Climate Change Adaptation Specialist, you need expertise in environmental science, climate risk assessment, and adaptation planning, typically supported by a relevant degree such as environmental studies, geography, or climate science. Familiarity with GIS software, climate modeling tools, and certifications like the Certified Climate Change Professional (CC-P) are commonly required. Strong communication, analytical thinking, and cross-cultural collaboration skills help build effective solutions with diverse stakeholders. These competencies are crucial for developing and implementing strategies that increase resilience to climate impacts in varied and often complex settings.
What are the most commonly searched types of Climate Change Adaptation jobs in California? The most popular types of Climate Change Adaptation jobs in California are:
What are popular job titles related to Remote Climate Change Adaptation jobs in California? For Remote Climate Change Adaptation jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Climate Change Adaptation jobs in California look for? The top searched job categories for Remote Climate Change Adaptation jobs in California are:
What cities in California are hiring for Remote Climate Change Adaptation jobs? Cities in California with the most Remote Climate Change Adaptation job openings:
Remote Climate Change Adaptation jobs near you

Senior Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$195K - $255K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New

Job description

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT
Who we are
The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires-with longer fire seasons, drier fuels, and more extreme weather-new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.
About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.
Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 and one of the World's Most Innovative Companies in 2026, ranking #1 in Sustainability. We have also been named to TIME's list of the 100 Most Influential Companies of 2025 and recognized by MIT Technology Review as one of the top climate technology companies to watch.
Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai.
The Role
We are building the next generation of cloud/edge-based vision systems that combine computer vision, edge AI, PTZ cameras, and cloud intelligence to deliver real-time situational awareness for wildfire detection and beyond.
As a Senior Computer Vision Engineer, you will lead the design, development, optimization, and deployment of computer vision models and inference pipelines running on both cloud and edge devices. In addition to advancing our wildfire detection capabilities, you will develop new vision algorithms that understand complex outdoor scenes, including vegetation detection, asset recognition, object localization, and spatial reasoning (e.g., estimating distances between detected objects and critical infrastructure).
This is a hands-on technical leadership role with significant ownership of our edge AI and computer vision roadmap.
What you'll do
  • Design and implement cloud/edge AI architectures for real-time computer vision applications.
  • Develop computer vision models for:
    • Wildfire smoke detection
    • Vegetation detection and classification
    • Asset detection (e.g., power lines, utility poles, buildings, roads)
    • Scene understanding and semantic segmentation
    • Spatial reasoning, including estimating distances and relationships between detected objects and nearby assets
  • Build lightweight detection, segmentation, classification, and temporal reasoning models for real-time inference.
  • Port and optimize deep learning models for ARM64, CUDA, TensorRT, ONNX, and NVIDIA Jetson platforms.
  • Build and optimize both cloud and edge inference pipelines for RGB, NIR, PTZ, and multi-camera systems.
  • Develop hybrid edge-cloud AI workflows that balance latency, bandwidth, and compute efficiency.
  • Improve inference latency, throughput, memory usage, and power efficiency.
  • Lead model compression efforts, including quantization, pruning, and knowledge distillation.
  • Design deployment, monitoring, OTA update, and observability capabilities for edge AI systems.
  • Collaborate closely with AI researchers, software engineers, hardware engineers, data engineers, and product teams.
  • Mentor junior engineers and establish best practices for edge AI and computer vision development.

What you'll bring
Required
  • MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • 5+ years of industry experience in computer vision or machine learning.
  • Strong experience with PyTorch and modern deep learning architectures.
  • Experience deploying AI models to edge devices such as NVIDIA Jetson, embedded GPUs, or similar platforms.
  • Strong understanding of CUDA, TensorRT, ONNX, model optimization, and inference acceleration.
  • Experience with one or more of the following:
    • Object detection
    • Semantic or instance segmentation
    • Image classification
    • Video understanding
    • Multi-object tracking
    • Depth estimation or 3D computer vision
  • Strong Python and C++ programming skills.

Preferred
  • Experience with outdoor vision systems, autonomous systems, robotics, surveillance, remote sensing, or geospatial AI.
  • Experience with PTZ camera systems.
  • Experience with multi-camera calibration, localization, and distributed camera systems.
  • Experience with spatial AI, scene understanding, or geometric computer vision.
  • Experience estimating object distances or reasoning about spatial relationships using monocular, stereo, or multi-view imagery.
  • Experience with MLOps and continuous learning pipelines.
  • Familiarity with foundation vision models (e.g., DINOv2/DINOv3, SAM, Grounding DINO, Florence, or similar) is a plus.

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.

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