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Data Annotation Services Jobs (NOW HIRING)

WW R&R includes business, product, operations, data, and software engineering teams, who together ... service. As a leader, you will be an expert in articulating the Amazon mission and deeply ...

WW R&R includes business, product, operations, data, and software engineering teams, who together ... service. As a leader, you will be an expert in articulating the Amazon mission and deeply ...

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 ...

WW R&R includes business, product, operations, data, and software engineering teams, who together ... service. As a leader, you will be an expert in articulating the Amazon mission and deeply ...

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 ...

Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Experience overseeing large-scale vendor operations or managed service providers, specifically ...

Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Experience overseeing large-scale vendor operations or managed service providers, specifically ...

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 ...

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Data Annotation Services information

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

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
More about Data Annotation Services jobs
What cities are hiring for Data Annotation Services jobs? Cities with the most Data Annotation Services job openings:
What states have the most Data Annotation Services jobs? States with the most job openings for Data Annotation Services jobs include:
Infographic showing various Data Annotation Services job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution.
PM, Science Annotation

PM, Science Annotation

Amazon

Bellevue, WA • On-site

Full-time

Posted 18 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,839 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line.
WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon's products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes

You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth's most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team.


We are hiring an experienced Program Manager who will lead annotation program and support a team of Catalog Specialists to contribute to the development and enhancement of machine learning models.
In this role, you will support the catalog specialists associates and will be responsible for the process development, annotation model performance, and engagement. The role expects your team to be your exclusive focus and you will be tasked with supporting your team and removing any barriers that prevent them from delivering high-quality annotated datasets that will train and improve models.

You will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development-all helping to delight our customers through new experiences throughout their Amazon shopping journey.
The ideal Program Manager understands that supporting their team is the most critical role they perform for smooth delivery of annotations. To achieve this, they are open and approachable, engage with their people individually to understand how to most effectively coach and motivate them and invest time in developing their people to become legends.

They build a work environment where the team is engaged and feel a positive sense of achievement about their role in delivering world class service.
As a leader, you will be an expert in articulating the Amazon mission and deeply understand the expectations of the annotations we expected the team to deliver; you will ensure your people understand the important role they play and how their role supports the Amazon virtuous cycle.
Key job responsibilities
Process / Program Management (leadership, stakeholder management, team management)
Formulate, Implement, track career path & Individual Development Plans of each member in the team
Metrics Management through regular reviews and delivering specific metric goals against targets
Mentor and guide Catalog Specialists to manage their performance metrics (productivity, quality, improve process efficiency, conceptualize, design and deliver trainings to the team)
Manage the team and ensure high service delivery and execution
Work closely with our product, technology, and science teams to support Machine Learning (ML) models
Support data scientists in the development of classification algorithms
Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
Maintain high-quality standards for annotated data to optimize model performance
Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
Strong analytical skills and the ability to deep-dive on complex problems
Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US