Catalog Specialist, RCX
Bellevue, WA · On-site
We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In ... Perform data annotation required to train and evaluate ML models effectively • Support data ...
Catalog Specialist, RCX
Bellevue, WA · On-site
We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In ... Perform data annotation required to train and evaluate ML models effectively • Support data ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. * Collaborate in updating and refining machine learning models to boost accuracy ...
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality ... You will manage and develop a team of QA specialists and leads, set clear quality metrics, and ...
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality ... You will manage and develop a team of QA specialists and leads, set clear quality metrics, and ...
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy ... You will manage and develop a team of QA specialists and leads, set clear quality metrics, and ...
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy ... You will manage and develop a team of QA specialists and leads, set clear quality metrics, and ...
Human Data Solutions Engineer
San Francisco, CA · On-site
$134K - $162K/yr
The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... for annotation specialists, auditing outputs, and iterating on quality until the sample is client ...
Quick apply
Human Data Solutions Engineer
San Francisco, CA · On-site
$134K - $162K/yr
The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... for annotation specialists, auditing outputs, and iterating on quality until the sample is client ...
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
PM, Science Annotation
Bellevue, WA · On-site
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
PM, Science Annotation
Bellevue, WA · On-site
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...
... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...
... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...
... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...
Remote | Image Data Quality Review Specialist -- $55-$70/hour
New York, NY · Remote
$55 - $70/hr
Evaluate visual data outputs using detailed quality rubrics and documented review standards ... Support structured review of annotation guidelines, instruction specs, and quality criteria
Quick apply
Remote | Image Data Quality Review Specialist -- $55-$70/hour
New York, NY · Remote
$55 - $70/hr
Evaluate visual data outputs using detailed quality rubrics and documented review standards ... Support structured review of annotation guidelines, instruction specs, and quality criteria
As a Technical Product Operations Specialist, you will drive product quality, growth, and ... Support data annotation, labeling, and LLM training initiatives to improve product quality Minimum ...
Quick apply
As a Technical Product Operations Specialist, you will drive product quality, growth, and ... Support data annotation, labeling, and LLM training initiatives to improve product quality Minimum ...
PM, Science Annotation
Bellevue, WA · On-site
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
PM, Science Annotation
Bellevue, WA · On-site
WW R&R includes business, product, operations, data, and software engineering teams, who together ... In this role, you will support the catalog specialists associates and will be responsible for the ...
Data Quality Analyst
San Francisco, CA · On-site
Machine Learning Model Specialist The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a ...
Data Quality Analyst
San Francisco, CA · On-site
Machine Learning Model Specialist The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a ...
... data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst • Interest in AI, machine ...
... data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst • Interest in AI, machine ...
... data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst • Interest in AI, machine ...
... data annotation, AI training, data operations, or quality assurance workflows • Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst • Interest in AI, machine ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
You will build and scale a high-performing organization of internal annotation specialists and ... Improve data operations workflows, standards, and tooling across teams in partnership with software ...
The Agentic AI Senior Training Specialist provides an exceptional learning experience, facilitating ... of data annotation/ML workflows and concepts - Demonstrated working knowledge of eLearning ...
The Agentic AI Senior Training Specialist provides an exceptional learning experience, facilitating ... of data annotation/ML workflows and concepts - Demonstrated working knowledge of eLearning ...
Data Science Specialist - Fully Remote
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Quick apply
Data Science Specialist - Fully Remote
San Francisco, CA · Remote
$70 - $100/hr
Prior experience with data annotation , labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Data Annotation Specialist information
See salary details
$28K - $33.5K
3% of jobs
$33.5K - $38.9K
5% of jobs
$38.9K - $44.4K
9% of jobs
$44.4K - $49.8K
6% of jobs
$50.5K is the 25th percentile. Wages below this are outliers.
$49.8K - $55.3K
6% of jobs
$55.3K - $60.7K
4% of jobs
$60.7K - $66.2K
2% of jobs
$66.2K - $71.6K
2% of jobs
$71.6K - $77.1K
0% of jobs
$77.1K - $82.5K
1% of jobs
The median wage is $83.5K / yr.
$82.5K - $88K
60% of jobs
$28K
$72.9K
$88K
How much do data annotation specialist jobs pay per year?
As of Jun 8, 2026, the average yearly pay for data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.
What is a data annotation specialist?
A data annotation specialist is a professional who labels and tags data such as images, text, or videos to help train machine learning models. They use tools and follow guidelines to ensure data is accurately annotated, which is essential for developing AI systems. Attention to detail and understanding of data types are important skills for this role.
What are Data Annotation Specialists?
Data Annotation Specialists are professionals who label and categorize data—such as images, text, audio, or video—to make it usable for machine learning models and artificial intelligence systems. Their work ensures that algorithms can accurately interpret data by providing clear examples of what different data points represent. Tasks may include drawing bounding boxes on images, transcribing audio, or tagging keywords in text. This role is crucial for improving the accuracy and reliability of AI applications across various industries.
What are some common challenges a Data Annotation Specialist faces, and how can they be addressed?
Data Annotation Specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data, managing repetitive tasks, and understanding complex annotation guidelines. To overcome these, it's important to stay detail-oriented, take regular breaks to avoid fatigue, and seek clarification on ambiguous instructions. Collaborating with team members and participating in quality review sessions can also help ensure consistency and improve annotation quality over time.
What is the difference between Data Annotation Specialist vs Data Labeler?
| Aspect | Data Annotation Specialist | Data Labeler |
|---|---|---|
| Credentials | High school diploma or equivalent; some roles may prefer certifications in data management or annotation tools | Typically high school diploma or equivalent; minimal formal requirements |
| Work Environment | Office or remote; often involves using specialized annotation software | Primarily remote or in-house; focuses on labeling data within specific datasets |
| Industry Usage | Used across AI, machine learning, and data science projects | Primarily in AI and machine learning industries for training data |
| Job Focus | Involves detailed annotation, quality control, and understanding project guidelines | Focuses on labeling data accurately according to instructions |
While both roles involve working with data to train AI models, Data Annotation Specialists typically handle more complex annotation tasks and quality assurance, whereas Data Labelers focus on straightforward labeling tasks. The Specialist role often requires a deeper understanding of project guidelines and may involve using advanced annotation tools.
What are the key skills and qualifications needed to thrive as a Data Annotation Specialist, and why are they important?
To thrive as a Data Annotation Specialist, you need a keen attention to detail, strong analytical abilities, and basic knowledge of data labeling concepts, often supported by a high school diploma or relevant coursework. Familiarity with data annotation tools (such as Labelbox or Supervisely), basic computer skills, and sometimes an understanding of programming languages like Python are valuable. Excellent communication, time management, and the ability to follow guidelines precisely help you stand out in this position. These skills ensure accurate and consistent data labeling, which is essential for training reliable machine learning models.
More about Data Annotation Specialist jobs
What cities are hiring for Data Annotation Specialist jobs? Cities with the most Data Annotation Specialist job openings:
What are the most commonly searched types of Data Annotation Specialist jobs? The most popular types of Data Annotation Specialist jobs are:
What states have the most Data Annotation Specialist jobs? States with the most job openings for Data Annotation Specialist jobs include:
What job categories do people searching Data Annotation Specialist jobs look for? The top searched job categories for Data Annotation Specialist jobs are:
Amazon rating
7.4
Based on 6,823 frontline employees who took The Breakroom Quiz
7th 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 Catalog Specialist to help us grow our business in innovative ways. In this role, 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.
Key job responsibilities
• Work closely with our product, technology, and science teams to support Machine Learning (ML) models
• Perform data annotation required to train and evaluate ML models effectively
• 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
BASIC QUALIFICATIONS
- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
PREFERRED QUALIFICATIONS
- 1+ years of proven experience in data annotation and labeling for ML model training and evaluation
- Experience working on the MTurk or Sagemaker platform for data annotation tasks
- Understanding of data annotation methodologies and tools
- Familiarity with Amazon's product and category ecosystem
- Previous exposure to machine learning concepts and algorithms
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Bellevue - 21.00 - 30.00 USD hourly
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 Catalog Specialist to help us grow our business in innovative ways. In this role, 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.
Key job responsibilities
• Work closely with our product, technology, and science teams to support Machine Learning (ML) models
• Perform data annotation required to train and evaluate ML models effectively
• 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
BASIC QUALIFICATIONS
- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
PREFERRED QUALIFICATIONS
- 1+ years of proven experience in data annotation and labeling for ML model training and evaluation
- Experience working on the MTurk or Sagemaker platform for data annotation tasks
- Understanding of data annotation methodologies and tools
- Familiarity with Amazon's product and category ecosystem
- Previous exposure to machine learning concepts and algorithms
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Bellevue - 21.00 - 30.00 USD hourly
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