1

Data Annotation Jobs in San Ramon, CA (NOW HIRING)

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

The Human Data Operations & Solutions Engineer will manage technical sales and hands-on data operations, leading the delivery of proof of concepts and ensuring high-quality data annotation workflows.

Familiarity with data annotation tools and workflows * Experience with data validation techniques and quality control processes for AV domain * Attention to detail and analytical mindset * Experience ...

Helix AI Engineer, Tooling

San Jose, CA · Hybrid

$150K - $250K/yr

Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking * Utilize data-driven techniques to optimize interfaces for efficiency and fast ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... You'll own the full arc: leading technical discovery on demo calls, designing the annotation ...

next page

Showing results 1-20

Data Annotation information

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.
What are popular job titles related to Data Annotation jobs in San Ramon, CA? For Data Annotation jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in San Ramon, CA look for? The top searched job categories for Data Annotation jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Annotation jobs? Cities near San Ramon, CA with the most Data Annotation job openings:

Data Annotation Specialist

DYNA Robotics Inc

Redwood City, CA • On-site

Contractor

Posted 26 days ago


Job description

Company Overview:
Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics-one manipulation skill at a time.
Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With $20mil+ in funding, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
Position Overview:
As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the performance of our robotic arms, helping them become more accurate and efficient. You will work closely with our engineering and research teams, ensuring data is labeled of the highest quality and meets required standards.
Key Responsibilities:
  • Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
  • Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
  • Leverage pre-annotation/autolabeling tools to boost throughput-validate/correct model prelabels and tune auto-tracking/segmentation pipelines

Qualifications:
  • Associate's or Bachelor's degree (or equivalent experience)
  • Strong attention to detail; consistent application of guidelines
  • Ability to follow detailed instructions and work independently with minimal supervision
  • Clear written communication and a collaborative attitude

Preferred Qualifications:
  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
  • Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)