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Amazon Data Annotation Jobs in California (NOW HIRING)

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Turing

Strategic Project Lead - Audio

San Francisco, CA · On-site

$200K - $250K/yr

... Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Position Overview ... We are looking for a strategic thinker with strong Audio AI data annotation experience who can ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

Field AI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

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How much do amazon data annotation jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for amazon data annotation in California is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.48 and $29.19 per hour, depending on experience, location, and employer.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. These roles often require attention to detail and familiarity with annotation tools, and may be part-time or flexible schedules.

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

To thrive as an Amazon Data Annotation specialist, you need keen attention to detail, accuracy, and proficiency in data labeling or annotation, often supported by a background in data entry or related fields. Familiarity with annotation tools, Amazon’s proprietary data platforms, and in some cases basic understanding of programming languages or machine learning concepts is beneficial. Strong communication skills, adaptability, and the ability to work independently or with minimal supervision help individuals excel in the role. These abilities are crucial for ensuring high-quality, reliable data that supports Amazon’s AI and machine learning initiatives.

What is an Amazon Data Annotation job?

An Amazon Data Annotation job involves labeling or tagging data such as text, images, audio, or videos to improve machine learning models. Annotators follow specific guidelines to provide accurate labels that help refine Amazon's AI systems, including Alexa and product recommendations. This work is often detail-oriented and may require understanding context, language nuances, or specific industry knowledge. The role can be full-time or contract-based and may involve remote or on-site work, depending on the project.

What does a typical day look like for an Amazon Data Annotation specialist?

A typical day as an Amazon Data Annotation specialist involves reviewing, labeling, and annotating diverse datasets, such as images, videos, or text, using specialized software and following detailed guidelines. You may collaborate with team members or project leads to clarify instructions and ensure consistency across annotations. Periodic quality checks and feedback sessions are common, helping you refine your work and maintain high standards. While much of the work is independent, clear communication and responsiveness are important for meeting project deadlines and successfully supporting Amazon’s AI development goals.

Will Amazon pay me to work from home?

Amazon Data Annotation jobs are often remote positions that pay employees for work done from home. These roles typically involve using online tools and require good attention to detail, with pay rates varying by position and location. Candidates should review specific job postings for exact compensation details and work requirements.

How to get hired for data annotation?

To get hired for data annotation roles, candidates should have strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many employers look for prior experience or training in data labeling, and some positions may require completing a short assessment or test. Applying through online job boards and demonstrating accuracy and reliability can improve chances of hiring.

Does data annotation actually pay well?

Data annotation jobs, including roles like Amazon Data Annotation, typically offer hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions may pay more for specialized skills or experience, overall pay tends to be modest and is often considered entry-level work. Compensation can vary based on the complexity of tasks and whether the role is freelance or full-time.
What are the most commonly searched types of Amazon Data Annotation jobs in California? The most popular types of Amazon Data Annotation jobs in California are:
What are popular job titles related to Amazon Data Annotation jobs in California? For Amazon Data Annotation jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Amazon Data Annotation jobs? Cities in California with the most Amazon Data Annotation job openings:
Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $49,077 per year, or $23.6 per hour.

Operations Lead - Perception Data Labeling

Zoox

Foster City, CA

$163K - $223K/yr

Full-time

Medical, Life, PTO

Posted 3 days ago

Job description

We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will:

  • Translate  and coalesce company-wide feature requirements into concrete and comprehensive data deliverables

  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox's AI perception stack. 

  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox. 

  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Qualifications:
  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
$163,000 - $223,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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