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Image Annotation Jobs in California (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Update training and test model databases with new or amended synthetic textual and image data. * Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training ...

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. • ...

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. • ...

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. • ...

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 ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

xAI

Member of Technical Staff - Imagine Model

Palo Alto, CA · On-site

$180K - $440K/yr

Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning ... Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video ...

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ... Image processing, Machine vision, machine learning. Estimation theory. * Familiarity with various ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... stratification, image synthesis, text report mining, and more! We are currently hiring both ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

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All JobsImage Annotation JobsImage Annotation Jobs in California

Image Annotation information

See California salary details

$749

$2.1K

$3.1K

How much do image annotation jobs pay per week?

As of Jul 8, 2026, the average weekly pay for image annotation in California is $2,089.08, according to ZipRecruiter salary data. Most workers in this role earn between $1,536.54 and $2,600.00 per week, depending on experience, location, and employer.

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

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What is an Image Annotation job?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

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 Image Annotation jobs in California? For Image Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in California look for? The top searched job categories for Image Annotation jobs in California are:
What cities in California are hiring for Image Annotation jobs? Cities in California with the most Image Annotation job openings:
Image Annotation jobs near you
Infographic showing various Image Annotation job openings in California as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $108,632 per year, or $52.2 per hour.
Staff Data Scientist

Staff Data Scientist

Heartflow

San Francisco, CA • Hybrid

$220K - $280K/yr

Other

Re-posted 7 days ago

Job description

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

  • Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
  • Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
  • Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
  • Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

  • Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
  • Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
  • Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
  • Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
  • Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
  • AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
  • (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier-accelerating coding, prototyping, and complex data analysis-while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
  • Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
  • Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
  • Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

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