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Annotation Tech Jobs in California (NOW HIRING)

... technologies • Experience supporting data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations ...

... technologies • Experience supporting data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations ...

... annotation pipelines. Preferred Qualifications: * Understanding of ML data pipelines and their applications. * Experience working with LLMs. * Familiarity with data labeling for audio technologies ...

We are seeking a Licensed Real Estate Agent - AI Annotation Specialist to support innovative AI and Machine Learning projects for a leading real estate technology organization. This opportunity is ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... You will build and scale a high-performing organization of internal annotation specialists and ...

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... You will build and scale a high-performing organization of internal annotation specialists and ...

Data Engineer III

Menlo Park, CA · On-site

$71 - $74/hr

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... Design and run LLM and vision-assisted annotation pipelines with auditing and evaluation to improve ...

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Annotation Tech information

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Annotation technicians use specialized tools to add accurate labels, which are essential for developing AI systems, and typically require attention to detail and knowledge of annotation guidelines.

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

Is annotation tech legit?

Annotation tech refers to roles involving labeling and annotating data for machine learning and AI training. These jobs are generally legitimate and often involve remote work, requiring attention to detail and familiarity with data labeling tools. However, job seekers should verify the employer's credibility before applying or providing personal information.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

Is data annotation tech hiring now?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Hiring trends can vary by industry and region, but overall, opportunities in data annotation remain active.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $20 per hour, depending on experience, location, and the complexity of tasks. Some companies offer bonuses or pay increases for specialized skills or certifications, but overall, pay is generally modest compared to other tech roles.
What are popular job titles related to Annotation Tech jobs in California? For Annotation Tech jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Annotation Tech jobs? Cities in California with the most Annotation Tech job openings:
Infographic showing various Annotation Tech job openings in California as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.

Data Collection Operator (Swing Shift)

RoboForce

Milpitas, CA • On-site

$30 - $35/hr

Full-time

Posted 7 days ago


Key responsibilities

  • Perform data collection tasks such as manipulation of objects, walking pre-determined routes, and following testing guidelines and protocols at RoboForce facilities and in public environments.

  • Start and stop recording devices, perform minor equipment and software debugging, and provide feedback on equipment performance.

  • Upload data collected, analyze and report on data during shift, write daily reports detailing observations and issues, and maintain equipment in safe working condition while prioritizing safety protocols.


Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding outdoor environments, with a focus on real-world deployment and scalability.
We are seeking a Data Collection Operator (Contractor) to operate and support robotic systems through advanced robotic control interfaces. In this role, you will execute precise manipulation tasks across a variety of real-world workflows, while generating high-quality data to power RoboForce's AI systems.
This is a hands-on, physical role requiring strong coordination, attention to detail, and sustained focus in a lab/industrial environment.
Responsibilities
  • Perform data collection tasks such as manipulation of objects, walk pre-determined routes, follow testing guidelines and test protocols at RoboForce facilities and in public environments.
  • Start/stop recording devices and perform minor equipment and software debugging.
  • Provide feedback on the performance of the equipment.
  • Analyze and report on data collected during shift.
  • Upload data collected and write daily reports detailing observations and issues.
  • Maintain equipment in safe working condition, prioritize safety protocols, and communicate with leadership promptly.

Requirements
  • Associate's or Bachelor's degree (or equivalent experience).
  • Familiar with using teleop tools like UMI style, GELLO style, VR-Based Systems, etc.
  • Strong attention to detail and manual dexterity.
  • Ability to follow detailed instructions and work independently with minimal supervision.
  • Clear written communication and a collaborative attitude.
  • Basic proficiency with software for data upload and reporting.
  • Ability to perform technical troubleshooting on equipment and willingness to learn new technologies quickly.

Bonus Qualifications
  • Experience with robotic systems, teleoperation, or related fields.
  • Basic working knowledge and familiarity with computer software interfaces and tools (e.g., the command line, bash, linux OS).
  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking).
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction.
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs).
Benefits
  • Lunches and dinners, a fully stocked kitchen.
  • The US hourly rate for this position is $30-$35.

Shift - Monday-Friday, 03:00 PM-11:00 PM