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Image Tagging Jobs in California (NOW HIRING)

JS Consulting

Product Manager - AI

Oakland, CA · On-site

Demonstrated experience with generative AI platforms (e.g., OpenAI, Stability, Adobe Firefly) and image-related prompt engineering. Strong understanding of model training pipelines, tagging systems ...

CoreWeave

Systems Engineer, VDI Platform

Sunnyvale, CA · Remote

... image pipelines, patch cadence, configuration management, and security agent stack that keep the ... Own cost governance: implement instance tagging and cost center chargeback attribution, build idle ...

krg technology inc

Hardware Support

Sunnyvale, CA

$25.25 - $34.50/hr

Image and install software on Apple, Windows, and Linux laptops/desktops ? Troubleshoot post ... Responsible for asset tagging and entering all incoming equipment into our asset management system

nudge

Histotechnologist

San Francisco, CA · On-site

... image the brain at high resolution and depth. This is a vertically integrated effort building ... based tagging approaches * Develop, optimize, and document SOPs for histological workflows ...

Nudge

Histotechnologist

San Francisco, CA · On-site

... image the brain at high resolution and depth. This is a vertically integrated effort building ... based tagging approaches * Develop, optimize, and document SOPs for histological workflows ...

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All JobsImage Tagging JobsImage Tagging Jobs in California

Image Tagging information

See California salary details

$44.9K

$53.4K

$58.2K

How much do image tagging jobs pay per year?

As of Aug 29, 2026, the average yearly pay for image tagging in California is $53,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $58,200.00 per year, depending on experience, location, and employer.

What is an image tagging?

An Image Tagging job involves labeling or annotating images with relevant keywords, tags, or metadata to make them searchable and organized. This is commonly used in AI training, content management, and e-commerce to improve image recognition and classification. Taggers analyze images and assign descriptive terms based on objects, emotions, colors, or context. This process helps improve search accuracy and enhances machine-learning models.

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

To thrive as an Image Tagging professional, you need keen attention to detail, visual analysis skills, and a basic understanding of image classification or categorization. Familiarity with annotation tools, content management systems, or machine learning platforms is commonly required, though formal certifications are typically not necessary for entry-level roles. Strong time management, consistency, and the ability to follow detailed guidelines help individuals excel in this position. These skills ensure accuracy and efficiency when labeling images, which is critical for the quality of datasets used in AI and digital content applications.

What are the typical challenges faced in an image tagging role, and how can I prepare for them?

Image Tagging professionals often encounter repetitive tasks and need to maintain high accuracy across large volumes of images, which can be challenging over long periods. Staying focused and avoiding fatigue is important, as small mistakes can impact the quality of machine learning data or digital content. Developing strategies like taking scheduled breaks, using ergonomically-friendly setups, and double-checking work can help manage these challenges. Communicating regularly with your team and seeking feedback also helps improve performance and ensures consistency in tagging standards.

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

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

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

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

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

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

Image Tagging jobs near you
Infographic showing various Image Tagging job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $53,429 per year, or $25.7 per hour.

Product Manager - AI

JS Consulting

Oakland, CA • On-site

Contractor

Re-posted 28 days ago

Job description

Job Title- Product Manager - AI

Project Location – Hybrid at Oakland, CA office 2-3 days onsite in a week

Duration- 12+ months contract

Visa- USC/ GC

Make sure candidates are exceptionally communicating well while speaking with my business partner over the video call 

Product Manager, AI
Key Responsibilities
Partner with engineering and AI/ML teams to integrate third-party (e.g., OpenAI) and internal capabilities
Experience leading cross-cutting programs or technology deployments, focusing on emerging technologies and creating new processes for rapid scale-up
Experience deploying software products (applications, services, etc.) or consumer hardware products
Experience in Design Thinking and customer-first product design processes
Lead the product design, business requirements, and definition of PG&E's AI Center of Excellence initiatives
Engage with project execution stakeholders for execution and program management
Manage the project timeline, budget, and advocate for and adjust resourcing when necessary
Identify and prioritize use cases and required capabilities for PG&E AI initiatives
Curate training datasets and tagging structures to fine-tune model performance and ensure desired outputs.
Monitor output metrics such as asset acceptance rate, generation cost, and asset velocity to optimize tool performance.
Expected Skillset
10+ years of product management experience with at least 3+ years working in AI/ML, creative tech, or content automation.
Demonstrated experience with generative AI platforms (e.g., OpenAI, Stability, Adobe Firefly) and image-related prompt engineering.
Strong understanding of model training pipelines, tagging systems, and metadata management.
Comfortable leading hands-on delivery in a fast-moving, ambiguous space with high visibility.
Excellent stakeholder management and storytelling skills — you know how to align creatives, engineers, and executives alike.
A plus if they have experience in the utility sector or with Foundry.