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Remote Computer Jobs in Richmond, CA (NOW HIRING)

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

We are a team of more than 175 people working in a hybrid-remote environment across North America ... The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ...

YO AI Labs

SolidWorks Expert - Remote

San Francisco, CA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on ...

New

HMG Careers

Remote Sales Representative

Sonoma, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Benefits Advisor

Ashland, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Sales Representative

Colma, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Sales Representative

Ross, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Benefits Advisor

Canyon, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Benefits Advisor

San Bruno, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Sales Consultant Remote

Walnut Creek, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

New

HMG Careers

Sales Coordinator Remote

San Rafael, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Sales Coordinator Remote

Lafayette, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Remote Sales Representative

Benicia, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Sales Consultant Remote

Walnut Creek, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

New

HMG Careers

Sales Manager Remote

Kensington, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

HMG Careers

Sales Representative Remote

Cherryland, CA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

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All JobsComputer JobsRemote Computer JobsRemote Computer Jobs in Richmond, CA

Remote Computer information

See Richmond, CA salary details

$14

$23

$35

How much do remote computer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote computer in Richmond, CA is $23.93, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $26.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote computer support specialist?

To thrive as a Remote Computer Support Specialist, you need a strong understanding of computer hardware, networking, troubleshooting, and typically a relevant certification such as CompTIA A+ or Microsoft Certified: Modern Desktop Administrator Associate. Familiarity with remote access tools, ticketing systems, and diagnostic software is essential for efficiently resolving technical issues. Excellent communication, patience, and problem-solving abilities help you effectively assist users and manage stressful situations. These skills ensure timely and accurate support, boosting productivity and user satisfaction in a remote work environment.

What are some common challenges faced by professionals working in a remote computer support role, and how can they be addressed?

One common challenge in a remote computer support role is troubleshooting technical issues without physical access to the user's device, which can make problem-solving more complex. Clear communication skills are essential for guiding users through solutions and accurately diagnosing issues remotely. Additionally, working from home may sometimes lead to feelings of isolation, so it's important to stay connected with teammates through regular virtual meetings and collaboration tools. Staying organized and following structured workflows also helps in tracking multiple support tickets efficiently.

What is the difference between Remote Computer vs Remote Network Technician?

AspectRemote ComputerRemote Network Technician
CredentialsCompTIA A+, Microsoft certificationsCompTIA Network+, Cisco CCNA
Work EnvironmentRemote support for individual users and small businessesRemote troubleshooting of network infrastructure and connectivity
Industry UsageIT support, help desk, tech servicesNetwork administration, infrastructure management

Remote Computer roles focus on supporting individual computers and software issues remotely, often requiring certifications like CompTIA A+ and working in help desk environments. Remote Network Technicians specialize in network systems, requiring certifications like Cisco CCNA, and handle network connectivity and infrastructure remotely. While both roles are IT-focused and often work remotely, their technical scope and certifications differ, aligning with their specific responsibilities.

What is a remote computer?

A Remote Computer job typically involves managing, troubleshooting, or operating computer systems from a remote location. This can include IT support, cybersecurity, cloud computing, software development, or network administration. Professionals in these roles use remote access tools to maintain systems, assist users, or develop software solutions. Many companies hire remote computer professionals to reduce overhead costs and access a global talent pool. Strong technical skills, communication abilities, and self-discipline are essential for success in this field.

What is a remote computer?

A remote computer job is a position that involves working primarily with computers, such as programming, IT support, or data analysis, from a location outside of a traditional office—often from home or another remote setting. These jobs leverage digital communication tools and cloud-based platforms to collaborate with teams and complete tasks. They offer flexibility in work location and sometimes hours, making them appealing for work-life balance. Common remote computer jobs include software development, tech support, and cybersecurity analysis.

What are the most commonly searched types of Computer jobs in Richmond, CA?

The most popular types of Computer jobs in Richmond, CA are:

What are popular job titles related to Remote Computer jobs in Richmond, CA?

For Remote Computer jobs in Richmond, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer jobs in Richmond, CA look for?

The top searched job categories for Remote Computer jobs in Richmond, CA are:

What cities near Richmond, CA are hiring for Remote Computer jobs?

Cities near Richmond, CA with the most Remote Computer job openings:

Remote Computer jobs near you
Infographic showing various Remote Computer job openings in Richmond, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $49,776 per year, or $23.9 per hour.

Computer Vision Engineer

Pano

San Francisco, CA • On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

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 looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring.
In this role, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on experience across modern computer vision, edge AI, embedded systems, and real-world AI deployment.
Beyond wildfire detection, you will contribute to a variety of computer vision projects, including vegetation detection, asset recognition, instance segmentation, scene understanding, and spatial reasoning. We value curiosity, adaptability, and a willingness to learn new technologies and tackle diverse technical challenges as our products evolve.
This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor.
What you'll do
  • Assist in developing computer vision models for:
    • Wildfire smoke detection
    • Vegetation detection and classification
    • Asset detection and recognition
    • Instance and semantic segmentation
    • Scene understanding and spatial reasoning
  • Help implement and maintain machine learning and computer vision pipelines.
  • Assist with deploying and optimizing AI models on NVIDIA Jetson and other edge platforms.
  • Support model optimization efforts, including TensorRT conversion, quantization, and inference acceleration.
  • Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
  • Conduct experiments, analyze model performance, and present findings to the team.
  • Debug inference, deployment, networking, and hardware integration issues.
  • Contribute to continuous learning, model evaluation, and data quality improvement workflows.
  • Collaborate closely with AI researchers, software engineers, hardware engineers, and product teams.
  • Document experiments, engineering decisions, and best practices.
  • Take on a variety of technical challenges as needed and continuously expand your skills across computer vision and cloud/edge AI.

What you'll bring
Required
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
  • 1-3 years of experience (including internships or research) in software engineering, machine learning, or computer vision.
  • Experience with Python and deep learning frameworks such as PyTorch.
  • Understanding of machine learning fundamentals and modern computer vision techniques.
  • Familiarity with Linux development environments.
  • Strong problem-solving skills, curiosity, and a desire to learn.
  • Excellent communication and teamwork skills.

Preferred
  • Experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, or embedded AI platforms.
  • Experience with OpenCV.
  • Experience with one or more of the following:
    • Object detection
    • Instance or semantic segmentation
    • Image classification
    • Multi-object tracking
    • Video understanding
  • Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
  • Experience with cloud platforms, MLOps, or CI/CD workflows.
  • Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.

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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