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Image Labeling Jobs in California (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

... labeling and refinement. Qualifications : Required : • 5+ years of industry experience in Data ... Experience building large-scale image or video datasets from scratch (e.g., LAION-style pipelines ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Artkive

Be Seen First

Warehouse Line Associate

Los Angeles, CA · On-site

$23 - $25/hr

Bundle and label built boxes by size/sku for quick retrieval. * Replenish shipping stations with ... We carefully digitize old prints without damaging the originals, then store every image securely in ...

PRIME STEAK CONCEPTS

Butcher

Beverly Hills, CA

$19 - $25.25/hr

Labels all products 11) Keeps immediate supervisor promptly and fully informed of all problems or ... image of the Company to promote its aims and objectives and foster and enhance public recognition ...

PRIME STEAK CONCEPTS

Butcher

Beverly Hills, CA · On-site

$19 - $25.25/hr

Labels all products 11) Keeps immediate supervisor promptly and fully informed of all problems or ... image of the Company to promote its aims and objectives and foster and enhance public recognition ...

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All JobsImage Labeling JobsImage Labeling Jobs in California

Image Labeling information

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$10

$13

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How much do image labeling jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for image labeling in California is $13.78, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $15.19 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in an Image Labeling position?

A typical day as an Image Labeler involves reviewing a high volume of images and accurately applying tags, annotations, or classifications according to specific project guidelines. You may work individually or as part of a larger data annotation team, often collaborating with project managers or quality assurance specialists to ensure consistency and accuracy. The work is generally computer-based and can often be performed remotely. Challenges may include meeting tight deadlines and adapting to varying project standards, but the role also offers opportunities to develop skills valuable in the broader artificial intelligence and data science fields.

What is an Image Labeling job?

An Image Labeling job involves annotating or tagging images with relevant labels to help train machine learning models. This can include identifying objects, bounding boxes, classifications, or segmenting specific areas within an image. The labeled data is crucial for AI systems to recognize patterns and make accurate predictions. It is commonly used in industries like autonomous driving, healthcare, and e-commerce. No specialized degree is usually required, but attention to detail and accuracy are important.

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

To excel in Image Labeling, candidates should have high attention to detail, basic computer proficiency, and familiarity with digital image formats. Experience with data annotation tools and platforms such as Labelbox or Supervisely is often preferred, though formal certifications are not always required. Strong organizational skills, focus, and the ability to work both independently and as part of a team are valuable soft skills in this role. These qualifications help ensure consistently accurate labeling, which is essential for building high-quality machine learning datasets.

What are the most commonly searched types of Image Labeling jobs in California? The most popular types of Image Labeling jobs in California are:
What are popular job titles related to Image Labeling jobs in California? For Image Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Image Labeling jobs in California look for? The top searched job categories for Image Labeling jobs in California are:
What cities in California are hiring for Image Labeling jobs? Cities in California with the most Image Labeling job openings:
Image Labeling jobs near you
Infographic showing various Image Labeling job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $28,672 per year, or $13.8 per hour.

Data Operations Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with scalable data solutions. The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality.
Responsibilities:
• Develop and maintain a comprehensive understanding of Abaka AI’s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D).
• Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, and business teams.
• Translate ambiguous or high-level requests into concrete dataset solutions, identifying appropriate data sources or gaps.
• Inspect and validate datasets for quality, completeness, and consistency using SQL, Python, or other tools as needed.
• Coordinate with global data teams, including teams in China, to resolve data issues, clarify requirements, and ensure timely delivery without unnecessary escalation.
• Maintain and improve internal documentation, organization, and accessibility of datasets.
• Identify inefficiencies in current workflows and propose improvements to systems, tooling, and processes that support dataset management and usage.
• Support cross-functional initiatives by providing dataset insights, technical context, and operational guidance.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• 1–4 years of experience in data operations, data engineering, or a related role involving direct interaction with datasets.
• Professional proficiency in Mandarin Chinese and English is required, as this role involves frequent collaboration with China-based vendors and external partners.
• Strong problem-solving skills and ability to operate effectively in ambiguous, fast-paced environments.
• Proficiency in SQL and/or Python for data inspection, validation, and basic analysis.
• Experience working with real-world datasets, including handling data quality issues, inconsistencies, and edge cases.
• Strong communication skills, with the ability to work across technical and non-technical teams.
• High level of ownership and accountability, with the ability to manage multiple requests and priorities simultaneously.
Preferred:
• Experience with multimodal datasets (text, image, video, audio, or 3D).
• Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning.
• Experience working with international teams, particularly in cross-border environments.
• Exposure to AI/ML workflows, including training, fine-tuning, or evaluation datasets.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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