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Remote Amazon Data Annotation Jobs in Seattle, WA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

Korean Language Expert

Seattle, WA · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

Linguist

Redmond, WA · Remote

$40/hr

Remote - West Coast preferred Experience: 0-3 years Education: PhD in Linguistics required ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

Showing results 41-60

Remote Amazon Data Annotation information

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are the most commonly searched types of Amazon Data Annotation jobs in Seattle, WA?

The most popular types of Amazon Data Annotation jobs in Seattle, WA are:

What are popular job titles related to Remote Amazon Data Annotation jobs in Seattle, WA?

For Remote Amazon Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Annotation jobs in Seattle, WA look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Amazon Data Annotation jobs?

Cities near Seattle, WA with the most Remote Amazon Data Annotation job openings:

Bilingual/ Mandarin Technical Account Manager, ES - CN-AWS, ES - CN, AWS Enterprise Support

Seattle, WA • On-site, Remote

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 3 days ago


Key responsibilities

  • Act as a single point of contact for Enterprise Support customers, building trusted advisor relationships

  • Provide strategic technical guidance across the full cloud adoption lifecycle, including migration planning and operational optimization

  • Make recommendations on how new AWS offerings, including GenAI and AI/ML, fit into customer strategy and architecture


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,162 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions.

Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS). Join us in helping customers across all industries to maximize the value and benefits of AWS services and Generative AI solutions.
As a Technical Account Manager (TAM) in AWS Enterprise Support, you will play a crucial role in fostering our customers' innovative and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role - it offers you the opportunity to serve as the primary technical advisor and 'voice of the customer' for organizations ranging from start-ups to Fortune 500 enterprises.
Based in the United States, you will provide bilingual AWS technical support to Mandarin-speaking enterprise customers who have established or are expanding their presence in the US market

These customers span industries including E-commerce, Gaming, FinTech, AI/ML, SaaS, and Social Media. You will work closely with Account Team and AWS Support and Service teams to deliver exceptional customer outcomes.
Full professional proficiency in Mandarin (speaking and writing) is required for this role. Strong working proficiency in English is also required

You will ensure customers receive seamless technical support in their preferred language while navigating the US AWS infrastructure landscape.
This is an exciting time to join - our customers are rapidly adopting Generative AI and AI/ML services on AWS, from Amazon Bedrock and SageMaker to custom model training on GPU infrastructure. As a TAM, you will be at the forefront of helping customers navigate this transformation, guiding them on architecture, operational readiness, and best practices for AI workloads in production. You will also leverage AI-powered tools in your own workflow to deliver faster, more proactive support.
Key job responsibilities
- Act as a single point of contact for Enterprise Support customers, building trusted advisor relationships
- Provide strategic technical guidance across the full cloud adoption lifecycle - from migration planning to operational optimization
- Make recommendations on how new AWS offerings (including GenAI, AI/ML) fit into customer strategy and architecture
- Complete analysis and present periodic reviews of operational performance to customers
- Provide detailed reviews of service disruptions, metrics, and prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g., feature requests, service improvements)
- Participate in customer meetings (onsite or remote) and maintain regular engagement cadence
- Leverage customer resolution tools across all service groups to facilitate rapid resolution of customer concerns
- Work directly with AWS service engineers to ensure customer issues are resolved expediently
- Collaborate with internal teams including DSE, SBAS, and account teams to deliver holistic support
- Available for non-business hours support to handle urgent issues and critical events
About the team
Diverse Experiences
Amazon values diverse experiences

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony

Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US