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From Home Image Annotation Jobs in California (NOW HIRING)

Abaka AI

Expert Operations

Mountain View, CA · On-site

$80K - $130K/yr

... and annotation services. Whether teams need raw data, curated datasets, or full-cycle data ... from Abaka's talent platform for AI data projects across domains including text, image, video ...

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI ...

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics ... Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ...

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics ... Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

You'll drive applied R&D across the full research lifecycle from conducting original research and ... Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ...

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

You'll drive applied R&D across the full research lifecycle from conducting original research and ... Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

$150 - $200/hr

Build scalable data pipelines for image and video collection, annotation, augmentation, training ... Demonstrated experience independently owning and delivering computer vision projects from concept ...

Nexxa.ai

AI Vision Engineer

Sunnyvale, CA · On-site

$150 - $200/hr

Build scalable data pipelines for image and video collection, annotation, augmentation, training ... Demonstrated experience independently owning and delivering computer vision projects from concept ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Build scalable data pipelines for image and video collection, annotation, augmentation, training ... Demonstrated experience independently owning and delivering computer vision projects from concept ...

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How much do from home image annotation jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for from home image annotation in California is $22.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.06 and $26.83 per hour, depending on experience, location, and employer.

What is a from home image annotation?

A From Home Image Annotation job involves labeling or tagging images with relevant information to train artificial intelligence (AI) and machine learning models. Annotators work remotely, using specialized tools to draw boxes, classify objects, or add descriptions to images. These tasks help improve AI systems for applications like self-driving cars, medical imaging, and facial recognition. No advanced technical skills are usually required, but attention to detail and accuracy are essential.

What are the typical daily responsibilities for a from home image annotation?

As a From Home Image Annotation professional, your day-to-day tasks involve reviewing digital images and tagging, labeling, or segmenting specific objects or features according to project guidelines. You'll often use specialized online annotation tools and may need to complete assigned image batches within set timelines. Communication with team leads or quality reviewers occurs through chat or project management systems, especially when clarifications are needed. Maintaining accuracy and consistency across annotations is critical, as this data is often used to train artificial intelligence systems. Depending on the project, you might also participate in brief virtual training sessions or feedback meetings.

What are the key skills and qualifications needed to thrive in the from home image annotation position, and why are they important?

To thrive as a From Home Image Annotation specialist, you need keen attention to detail, basic computer proficiency, and knowledge of image labeling processes. Familiarity with image annotation tools such as Labelbox, VGG Image Annotator, or proprietary client platforms is often expected, while formal certifications are rarely required. Strong time management, self-motivation, and the ability to follow detailed instructions are standout soft skills for this role. These skills ensure that annotations are accurate, consistent, and completed efficiently to meet project deadlines and quality standards.

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

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

What are popular job titles related to From Home Image Annotation jobs in California?

For From Home Image Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching From Home Image Annotation jobs in California look for?

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What cities in California are hiring for From Home Image Annotation jobs?

Cities in California with the most From Home Image Annotation job openings:

From Home Image Annotation jobs near you
Infographic showing various From Home Image Annotation job openings in California as of September 2026, with employment types broken down into 2% As Needed, 58% Full Time, 38% Part Time, and 2% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $47,329 per year, or $22.8 per hour.

Expert Operations

Mountain View, CA • On-site

Abaka AI
See more jobs at Abaka AIexternal

$80K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

About Abaka AI
Abaka AI is built on one mission: to be the world's most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore, and Tokyo-we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
 
About the Role
We're hiring for Expert Operations to help build and scale the expert workforce behind some of the world's leading AI models. In this role, you will own the end-to-end process of identifying, evaluating, onboarding, and supporting expert contributors for AI data projects across a wide range of domains.
Working closely with Project Managers, Operations, and Research teams, you'll match qualified experts from our talent platform to project needs, ensuring every engagement is staffed with high-quality contributors who can deliver exceptional results. You'll serve as a key point of contact throughout the contributor lifecycle, building strong relationships while creating a seamless onboarding experience.
As an early member of our Expert Operations team, you'll help define scalable processes for expert sourcing, evaluation, onboarding, and community management. Your work will directly impact the quality, speed, and success of the AI data projects powering frontier foundation models for some of the world's leading AI companies.
If you thrive in fast-paced environments, enjoy working with people, and are passionate about building high-performing communities, this role offers an opportunity to make an immediate and lasting impact.
 
Responsibilities
  • Source and identify qualified experts from Abaka's talent platform for AI data projects across domains including text, image, video, audio, coding, reasoning, multimodal AI, and domain-specific expertise.
  • Review contributor profiles, work history, assessments, and qualifications to evaluate project fit and staffing readiness.
  • Conduct interviews to assess communication skills, technical knowledge, and overall contributor quality.
  • Guide contributors through onboarding, training, and project setup to ensure a smooth and successful onboarding experience.
  • Partner closely with Project Managers to understand project requirements and efficiently staff high-quality contributors.
  • Build and maintain a strong pipeline of qualified experts to support both current and future project needs.
  • Serve as the primary point of contact for contributors, providing timely communication, support, and issue resolution throughout the project lifecycle.
  • Track staffing metrics, onboarding progress, contributor performance, and operational KPIs to continuously improve efficiency and quality.
  • Develop and refine scalable workflows for expert sourcing, evaluation, onboarding, and contributor engagement.
  • Leverage AI tools and automation to improve operational efficiency, communication, and talent matching processes.
 
Qualifications
  • Bachelor's degree or equivalent practical experience.
  • 1+ years of experience in AI data annotation, quality assurance, reviewer operations, project operations, talent operations, recruiting, or related operational roles.
  • Experience working on AI data projects involving annotation, model evaluation, RLHF, preference ranking, or human feedback is highly preferred.
  • Excellent communication and interpersonal skills with the ability to build trust and maintain strong relationships with contributors.
  • Strong judgment and attention to detail when evaluating contributor quality and project fit.
  • Highly organized with the ability to manage multiple hiring, onboarding, and staffing pipelines simultaneously.
  • Comfortable working with spreadsheets, CRMs, applicant tracking systems, and operational tools.
  • Self-driven, adaptable, and comfortable operating in a fast-paced startup environment with a strong sense of ownership and urgency.
  • Experience using AI tools to improve sourcing, communication, or operational workflows is a plus.
 
Compensation & Benefits
The base salary range for this position is $80,000 - $130,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Base pay is one part of the total package provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package, including health, dental, vision, PTO, and a flexible work schedule.

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