ZipRecruiter

Log In

1

Amazon Data Annotation Jobs (NOW HIRING)

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 ...

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 ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

... data extraction from scanned TIF documents. You will architect and implement computer vision ... Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ...

Turing

Strategic Project Lead

New York, NY · On-site

... Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com The Role You will ... class data integrity on every project * Own quality control across the annotation lifecycle: set ...

next page

Showing results 1-20

All JobsAmazon Data Annotation Jobs

Amazon Data Annotation information

See salary details

$9

$24

$44

How much do amazon data annotation jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for amazon data annotation in the United States is $24.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $29.81 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.
More about Amazon Data Annotation jobs
What cities are hiring for Amazon Data Annotation jobs? Cities with the most Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Amazon Data Annotation jobs? States with the most job openings for Amazon Data Annotation jobs include:
What job categories do people searching Amazon Data Annotation jobs look for? The top searched job categories for Amazon Data Annotation jobs are:
Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $50,118 per year, or $24.1 per hour.

Senior Data Scientist - Data for Perception Machine Learning

Zoox

Boston, MA

Full-time

Posted 1 hour ago

Job description

We are seeking an experienced and highly skilled data scientist 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 data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data.
In this role, you will:
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Drive data-centric ML model improvements to achieve critical Zoox milestones
  • Support an org-wide data ontology and class structure for perception models
  • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data
  • Build metrics to quantify labeling throughput, capacity, and annotator/vendor quality
Qualifications:
  • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive science) or a related field
  • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
  • Experience with data-centric ML development and data curation
Bonus Qualifications:
  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience with human data collection, including annotation task design
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.