... across text, image, audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation ...
... across text, image, audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation ...
Solid understanding of medical image data structures and imaging workflows (e.g., DICOM), as well as the clinical realities that make annotation challenging. * Data & Tooling Proficiency: Proficiency ...
Solid understanding of medical image data structures and imaging workflows (e.g., DICOM), as well as the clinical realities that make annotation challenging. * Data & Tooling Proficiency: Proficiency ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$160K - $200K/yr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. Strong understanding of dataset curation, annotation quality, model evaluation ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$160K - $200K/yr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. Strong understanding of dataset curation, annotation quality, model evaluation ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$160K - $200K/yr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. Strong understanding of dataset curation, annotation quality, model evaluation ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$160K - $200K/yr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. Strong understanding of dataset curation, annotation quality, model evaluation ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$150 - $200/hr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. * Strong understanding of dataset curation, annotation quality, model evaluation ...
Senior Computer Vision / Applied AI Engineer
San Francisco, CA · On-site
$150 - $200/hr
Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models. * Strong understanding of dataset curation, annotation quality, model evaluation ...
Research Scientist, Human Data & Evaluation
San Francisco, CA · On-site
$150 - $200/hr
Design human-data collection strategies, evaluation protocols, rubrics, annotation schemes, and ... Design methodologies that work across creative and multimodal domains such as design, image, video ...
Research Scientist, Human Data & Evaluation
San Francisco, CA · On-site
$150 - $200/hr
Design human-data collection strategies, evaluation protocols, rubrics, annotation schemes, and ... Design methodologies that work across creative and multimodal domains such as design, image, video ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
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 ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
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 ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
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 ...
Expert Operations
Mountain View, CA · On-site
$80K - $130K/yr
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 ...
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 ...
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 ...
Machine Learning Data Engineer (DataOps), Materra
Mountain View, CA · On-site
$200 - $250/hr
Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records. * Annotation Platform Integration: Familiarity with data labeling ...
Machine Learning Data Engineer (DataOps), Materra
Mountain View, CA · On-site
$200 - $250/hr
Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records. * Annotation Platform Integration: Familiarity with data labeling ...
Sr Manager, Machine Learning Engineering
San Jose, CA · On-site
$250/hr
Experience with large‑scale image/video datasets. * Preferred: Familiarity with MLOps tools (e.g., DVC), annotation platforms, and compliance standards. * Experience in computer vision, multimedia ...
Sr Manager, Machine Learning Engineering
San Jose, CA · On-site
$250/hr
Experience with large‑scale image/video datasets. * Preferred: Familiarity with MLOps tools (e.g., DVC), annotation platforms, and compliance standards. * Experience in computer vision, multimedia ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
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 ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
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 ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
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 ...
Machine Learning Engineer
Mountain View, CA · On-site
$175K - $275K/yr
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 ...
AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation
Cupertino, CA · On-site
$184K - $324K/yr
Familiarity with human annotation operations, sampling strategies, or subjective judgment evaluation. Experience in designing human-in-the-loop evaluation workflows. Familiar with image quality ...
AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation
Cupertino, CA · On-site
$184K - $324K/yr
Familiarity with human annotation operations, sampling strategies, or subjective judgment evaluation. Experience in designing human-in-the-loop evaluation workflows. Familiar with image quality ...
Data Quality Analyst
San Francisco, CA · On-site
$125 - $150/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 ...
Data Quality Analyst
San Francisco, CA · On-site
$125 - $150/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 ...
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 ...
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 ...
Design and execute visual data generation, filtering, and quality assessment processes, including image-text pair curation, annotation pipelines, and synthetic data generation for visual tasks. * Run ...
Design and execute visual data generation, filtering, and quality assessment processes, including image-text pair curation, annotation pipelines, and synthetic data generation for visual tasks. * Run ...
Senior Machine Learning Data Engineer (DataOps), Materra
Mountain View, CA · On-site
$135K - $162K/yr
Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records. * Annotation Platform Integration: Familiarity with data labeling ...
Senior Machine Learning Data Engineer (DataOps), Materra
Mountain View, CA · On-site
$135K - $162K/yr
Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records. * Annotation Platform Integration: Familiarity with data labeling ...
Head of Physical AI Programs
Palo Alto, CA · On-site
$250/hr
... annotation, localization, RLHF, and multi-modal workflows**. This is a leadership position ... Design and optimize **multi-modal workflows** (text, audio, video, image, and sensor data).* Drive ...
Head of Physical AI Programs
Palo Alto, CA · On-site
$250/hr
... annotation, localization, RLHF, and multi-modal workflows**. This is a leadership position ... Design and optimize **multi-modal workflows** (text, audio, video, image, and sensor data).* Drive ...
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 ...
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 ...
Image Annotation information
See California salary details
$749.67 - $962.76
3% of jobs
$962.76 - $1.2K
5% of jobs
$1.2K - $1.4K
12% of jobs
$1.5K is the 25th percentile. Wages below this are outliers.
$1.4K - $1.6K
8% of jobs
$1.6K - $1.8K
9% of jobs
$1.8K - $2K
9% of jobs
The median wage is $2.1K / yr.
$2K - $2.2K
11% of jobs
$2.2K - $2.5K
12% of jobs
$2.5K is the 75th percentile. Wages above this are outliers.
$2.5K - $2.7K
14% of jobs
$2.7K - $2.9K
9% of jobs
$2.9K - $3.1K
7% of jobs
$749
$2.1K
$3.1K
How much do image annotation jobs pay per week?
As of Sep 9, 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 is an image annotation?
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 key skills and qualifications needed to thrive in image annotation, 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 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:
- No Experience Undergraduate Artificial Intelligence Internships
- Cursor Developer
- Data Science For Social Good
- Freelance Web Data Scraping
- Rws Ai Data Annotator
- Volunteer Large Language Model Llm
- Artificial Intelligence Programmer
- Data Scientist Internship
- Temporary Starbucks Data Analytics
- Intern Geospatial Data Scientist
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:
Machine Learning Engineer
Mountain View, CA • On-site
Abaka AI
Full-time
Re-posted just now
Job description
Job Summary:
Abaka AI is built on a mission to be the world’s most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical roadmap for model development.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
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.
Abaka AI is built on a mission to be the world’s most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical roadmap for model development.
Responsibilities:
• Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
• Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
• Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
• Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
• Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
• Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
• Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
Qualifications:
Required:
• Strong academic background in computer science, artificial intelligence, machine learning, or related fields.
• 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
• Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
• Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
• Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
• Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
• Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
• Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
Preferred:
• Master’s degree or Ph.D. is preferred.
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.