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Remote Image Segmentation Jobs in California (NOW HIRING)

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · Remote

$139K - $145K/yr

... image sensors across AR/VR, mobile, automotive, and surveillance segments in global markets. • ... remote access, and video management software (VMS) operation. • Working with cross-functional ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · Remote

... image sensors across AR/VR, mobile, automotive, and surveillance segments in global markets ... Technical support to internal teams on camera installation, system compatibility, remote access ...

Promenade

Senior Creative Designer

Santa Monica, CA · On-site +1

$80K - $120K/yr

... different segments, adapting visual messaging for specific audiences and platforms. Image ... The company is based in Santa Monica, CA along with Remote roles. Additional highlights... Backed ...

Promenade

Senior Creative Designer

Santa Monica, CA · On-site +1

$80K - $120K/yr

... different segments, adapting visual messaging for specific audiences and platforms. Image ... The company is based in Santa Monica, CA along with Remote roles. Additional highlights... Backed ...

Hyperproof

Senior DevSecOps Engineer

San Francisco, CA · Remote

$134K - $185K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... Establish security and compliance architecture patterns across encryption, network segmentation ...

OpenSpace

VP of Sales (US remote)

San Francisco, CA · Remote

Powered by Spatial AI, its image-first platform streamlines coordination between field and office ... Drive consistent new customer acquisition across enterprise and mid-market segments * Build and ...

All JobsImage Segmentation JobsRemote Image Segmentation JobsRemote Image Segmentation Jobs in California

Remote Image Segmentation information

See California salary details

$18

$43

$69

How much do remote image segmentation jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote image segmentation in California is $43.04, according to ZipRecruiter salary data. Most workers in this role earn between $33.46 and $50.05 per hour, depending on experience, location, and employer.

What is remote image segmentation?

A Remote Image Segmentation job involves labeling or partitioning images into different regions or objects using AI tools or manual annotation. This role is crucial for training computer vision models in applications like medical imaging, autonomous vehicles, and satellite imagery analysis. Professionals in this field work remotely using specialized software to annotate images accurately. Strong attention to detail and familiarity with image processing techniques are often required.

What does someone in remote image segmentation do?

A typical day for a Remote Image Segmentation specialist involves reviewing image datasets, applying annotation algorithms or manually labeling images, and collaborating with team members through virtual meetings or project management platforms. You may spend significant time optimizing models, troubleshooting data inconsistencies, and documenting your progress for other team members or stakeholders. While much of the work is independent, regular communication with data scientists, project managers, and other annotators is essential to ensure that segmentation tasks meet project goals and quality standards. This structure allows for flexibility but also demands self-motivation and strong organization to handle deadlines and evolving project requirements.

What are the key skills and qualifications needed to thrive in remote image segmentation?

To thrive as a Remote Image Segmentation specialist, you need a solid background in computer vision, deep learning, and image processing, commonly supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and annotation platforms, as well as knowledge of relevant data labeling standards, is highly important. Attention to detail, strong problem-solving skills, and clear remote communication help drive success in collaborative projects. These abilities ensure high-quality, accurate image segmentation results and efficient teamwork in distributed environments.

What are the most commonly searched types of Image Segmentation jobs in California?

The most popular types of Image Segmentation jobs in California are:

What are popular job titles related to Remote Image Segmentation jobs in California?

For Remote Image Segmentation jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Image Segmentation jobs in California look for?

The top searched job categories for Remote Image Segmentation jobs in California are:

What cities in California are hiring for Remote Image Segmentation jobs?

Cities in California with the most Remote Image Segmentation job openings:

Remote Image Segmentation jobs near you
Infographic showing various Remote Image Segmentation job openings in California as of August 2026, with employment types broken down into 56% Part Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,513 per year, or $43 per hour.

Product Marketing Engineer

OMNIVISION

Santa Clara, CA • Remote

$139K - $145K/yr

Full-time

Re-posted 17 days ago

Job description

•    Conduct in-depth market research and competitive benchmarking on CMOS image sensors across AR/VR, mobile, automotive, and surveillance segments in global markets.
•    Define product positioning, pricing, go-to-market strategy, and manage full product lifecycle from concept to mass production and EOL.
•    Collaborate with cross-functional teams (engineering, operations, sales) across the U.S. and Asia to translate customer needs into technical requirements and product features.
•    Provide cross-regional technical support to ensure alignment on sensor specification, performance tuning, and integration.
•    Develop technical collateral including datasheets, feature comparisons, and sales training decks to support internal education and external promotion.
•    Deliver system-level guidance and product selection strategy based on use-case and performance criteria.
•    Participate in roadmap discussions with engineering and marketing leadership to identify future opportunities and define new product architectures.
•    Communicate customer feedback and market signals into design specifications to inform new sensor and platform development.
•    Assist in preparing and delivering technical training to global sales and application engineering teams.
Requirements:
Master’s degree in Electrical Engineering, Computer Engineering, or a closely related field and 6 months of experience in product marketing.
The experience shall include:
•    The integration, testing, and optimization of video surveillance systems, including IP cameras, NVRs, and edge AI-enabled devices used in commercial and public security applications
•    Video quality tuning and evaluation, including configuration of camera parameters such as exposure, white balance, sharpness, and dynamic range to meet deployment-specific requirements.
•    Technical support to internal teams on camera installation, system compatibility, remote access, and video management software (VMS) operation.
•    Working with cross-functional product managers, sales engineers, and firmware teams to resolve field issues and contribute to product feature enhancements.
•    Preparing technical documentation, setup guides, and internal training materials for the global teams.
•    Experience in Microsoft Excel and PowerPoint for reporting, Jira and Confluence for issue tracking and documentation, and remote testing equipment for validating surveillance system functionality.
Annual base salary for this role in California, US is expected to be between $139,235 - $145,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.

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