Catalog Specialist, RCX
Bellevue, WA · On-site
... 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 ...
Catalog Specialist, RCX
Bellevue, WA · On-site
... 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 ...
PM, Science Annotation
Bellevue, WA · On-site
In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated ... WW R&R includes business, product, operations, data, and software engineering teams, who together ...
PM, Science Annotation
Bellevue, WA · On-site
In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated ... WW R&R includes business, product, operations, data, and software engineering teams, who together ...
Machine Learning Data Linguist, Alexa AI
Seattle, WA · On-site
$130K - $156K/yr
Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on ... annotation and general data analysis deliverables. The ML Data Linguist must have a passion for ...
Machine Learning Data Linguist, Alexa AI
Seattle, WA · On-site
$130K - $156K/yr
Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on ... annotation and general data analysis deliverables. The ML Data Linguist must have a passion for ...
... 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 ...
... 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 ...
AI Tutor, Rufus, Amazon Rufus
Seattle, WA · On-site
Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...
AI Tutor, Rufus, Amazon Rufus
Seattle, WA · On-site
Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...
Catalog Specialist, RCX
Bellevue, WA · On-site
... 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 ...
Catalog Specialist, RCX
Bellevue, WA · On-site
... 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 ...
Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ... Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid ...
Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ... Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid ...
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into ... Flexible PTO to fully recharge * 18 paid vacation days in the U.S. plus federal holidays * Annual ...
Quick apply
Human Data Operations Strategist
San Francisco, CA · On-site
$150K - $230K/yr
Oversee data annotation projects, translating complex AI and machine learning requirements into ... Flexible PTO to fully recharge * 18 paid vacation days in the U.S. plus federal holidays * Annual ...
Finance AI Trainer Remote & Flexible Hours
Ashwaubenon, WI · Remote
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to assist in training AI models for finance. This flexible remote position allows you to set your own schedule, making it suitable for ...
Finance AI Trainer Remote & Flexible Hours
Ashwaubenon, WI · Remote
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to assist in training AI models for finance. This flexible remote position allows you to set your own schedule, making it suitable for ...
Finance AI Trainer Remote & Flexible Hours
San Tan Valley, AZ · Remote
$50 - $60/hr
Data Annotation is looking for finance professionals to enhance AI Assistant models in a remote, flexible role. Responsibilities include reviewing AI outputs, ensuring accuracy, and applying ...
Finance AI Trainer Remote & Flexible Hours
San Tan Valley, AZ · Remote
$50 - $60/hr
Data Annotation is looking for finance professionals to enhance AI Assistant models in a remote, flexible role. Responsibilities include reviewing AI outputs, ensuring accuracy, and applying ...
Finance AI Trainer Remote & Flexible Hours
Clemmons, NC · Remote
$50 - $60/hr
Data Annotation is looking for finance professionals to join their team in a flexible, remote role essential for training AI systems. Candidates should possess advanced degrees and experience in ...
Finance AI Trainer Remote & Flexible Hours
Clemmons, NC · Remote
$50 - $60/hr
Data Annotation is looking for finance professionals to join their team in a flexible, remote role essential for training AI systems. Candidates should possess advanced degrees and experience in ...
Finance AI Trainer Remote & Flexible Hours
Oak Brook, IL · Remote
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to contribute to AI Assistant development. Join a flexible, remote role where you can set your own schedule. Responsibilities include ...
Finance AI Trainer Remote & Flexible Hours
Oak Brook, IL · Remote
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to contribute to AI Assistant development. Join a flexible, remote role where you can set your own schedule. Responsibilities include ...
Remote | Network Data Annotation & Infrastructure Specialist -- $55-$80/hour
New York, NY · Remote
$55 - $80/hr
Network Data Review & Annotation * Review network-related data such as logs, configurations ... Work on flexible, project-based assignments aligned with your networking background * Use your ...
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Remote | Network Data Annotation & Infrastructure Specialist -- $55-$80/hour
New York, NY · Remote
$55 - $80/hr
Network Data Review & Annotation * Review network-related data such as logs, configurations ... Work on flexible, project-based assignments aligned with your networking background * Use your ...
Remote Finance Associate for AI Data Annotation
Providence, RI · Remote
$50 - $60/hr
A leading data annotation firm in the United States seeks a Finance Associate to train AI models ... The role offers flexible scheduling and the ability to choose projects, with compensation starting ...
Remote Finance Associate for AI Data Annotation
Providence, RI · Remote
$50 - $60/hr
A leading data annotation firm in the United States seeks a Finance Associate to train AI models ... The role offers flexible scheduling and the ability to choose projects, with compensation starting ...
Remote FP&A AI Trainer Flexible Hours
Catoosa, OK · Remote
$50 - $60/hr
Data Annotation is looking for experienced finance professionals in Catoosa, Oklahoma, for a flexible remote position. The role involves evaluating AI Assistant outputs related to finance and ...
Remote FP&A AI Trainer Flexible Hours
Catoosa, OK · Remote
$50 - $60/hr
Data Annotation is looking for experienced finance professionals in Catoosa, Oklahoma, for a flexible remote position. The role involves evaluating AI Assistant outputs related to finance and ...
Finance AI Trainer Remote & Flexible Hours
Charleston, SC · On-site +1
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to enhance AI understanding in finance. This role offers the flexibility of working full-time or part-time remotely, allowing you to ...
Finance AI Trainer Remote & Flexible Hours
Charleston, SC · On-site +1
$50 - $60/hr
Data Annotation is seeking experienced finance professionals to enhance AI understanding in finance. This role offers the flexibility of working full-time or part-time remotely, allowing you to ...
Operations Lead - Perception Data Labeling
$163K - $223K/yr
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Operations Lead - Perception Data Labeling
$163K - $223K/yr
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Quick apply
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Operations Lead - Perception Data Labeling
Boston, MA · On-site
$163K - $223K/yr
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Operations Lead - Perception Data Labeling
Boston, MA · On-site
$163K - $223K/yr
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Quick apply
Work collaboratively with AI teams, project management, and data annotation teams to manage the ... Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be ...
Flexible Amazon Data Annotation information
What are the key skills and qualifications needed to thrive as a Flexible Amazon Data Annotation Specialist, and why are they important?
To thrive as a Flexible Amazon Data Annotation Specialist, you need strong attention to detail, analytical skills, and the ability to accurately label and categorize data, often supported by at least a high school diploma or equivalent. Familiarity with Amazon's proprietary annotation platforms, basic data management tools, and sometimes workflow tracking systems is typically required. Excellent communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, consistent data labeling, which is crucial for training reliable machine learning models and supporting Amazon’s AI-driven products.
What are some common challenges faced in a Flexible Amazon Data Annotation role, and how can I prepare for them?
In a Flexible Amazon Data Annotation role, one common challenge is maintaining high accuracy while working with large volumes of data, often under tight deadlines. Adapting to evolving project guidelines and learning to use proprietary annotation tools efficiently are also typical hurdles. To prepare, familiarize yourself with data labeling best practices, develop strong attention to detail, and practice time management to ensure consistent productivity. Being proactive in seeking clarification when guidelines change and participating in any available training can also help you excel in the role.
What is a Flexible Amazon Data Annotation job?
A Flexible Amazon Data Annotation job involves labeling, categorizing, or identifying data (such as text, images, or videos) to help train artificial intelligence and machine learning models used by Amazon. Workers perform these tasks remotely and can often choose their own hours, making the job flexible and suitable for people seeking part-time or supplemental work. The tasks may include tagging products, categorizing content, or transcribing information, depending on the project requirements. Attention to detail and accuracy are important, as annotated data directly impacts the performance of Amazon's AI systems.
What is the difference between Flexible Amazon Data Annotation vs Data Labeler?
| Aspect | Flexible Amazon Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote or on-site, flexible hours |
| Industry Usage | Amazon and e-commerce platforms | Various industries including e-commerce, AI training |
| Job Focus | Annotating data for Amazon AI models | Labeling data for machine learning models |
Flexible Amazon Data Annotation involves annotating data specifically for Amazon's AI systems, often requiring familiarity with Amazon's platform. Data Labelers perform similar tasks across multiple industries, focusing on preparing data for machine learning. Both roles are remote, entry-level, and involve data annotation, but Flexible Amazon Data Annotation is more specialized for Amazon's ecosystem.
More about Flexible Amazon Data Annotation jobs
What cities are hiring for Flexible Amazon Data Annotation jobs? Cities with the most Flexible 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 Flexible Amazon Data Annotation jobs? States with the most job openings for Flexible Amazon Data Annotation jobs include:
What job categories do people searching Flexible Amazon Data Annotation jobs look for? The top searched job categories for Flexible Amazon Data Annotation jobs are:
Amazon rating
7.4
Based on 6,817 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