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Ai Data Trainer Amazon Jobs in Bothell, WA (NOW HIRING)

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ... The R2L Science & AI team is the centralized data science and AI function serving all R2L business ...

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How much do ai data trainer amazon jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai data trainer amazon in Bothell, WA is $34.93, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $39.76 per hour, depending on experience, location, and employer.

What is an AI data trainer Amazon?

An AI Data Trainer at Amazon is responsible for labeling, annotating, and curating datasets used to train machine learning models. This role involves reviewing AI-generated outputs, ensuring accuracy, and improving model performance through high-quality data inputs. Trainers often work with natural language processing (NLP) tasks, image recognition, or other AI-related projects. Strong attention to detail and familiarity with AI concepts are essential for success in this role.

What does an AI data trainer Amazon do?

As an AI Data Trainer at Amazon, your daily tasks typically involve labeling and annotating datasets, verifying data quality, and identifying patterns or inconsistencies that could impact AI model development. You will frequently collaborate with data scientists, engineers, and fellow trainers to refine annotation guidelines and resolve ambiguous cases. Regular feedback loops and team meetings are common, ensuring the data you help curate meets project standards and deadlines. Over time, you'll develop a deep understanding of the data pipeline and may have opportunities to take on supervisory or process-improvement roles as you gain experience.

What are the key skills and qualifications needed to thrive as an AI data trainer Amazon?

To excel as an AI Data Trainer at Amazon, a solid background in data annotation, machine learning concepts, and attention to detail is essential, often supported by a degree in computer science or related fields. Experience with annotation platforms (like Amazon SageMaker Ground Truth), familiarity with data labeling tools, and knowledge of QA processes are frequently required. Strong communication, collaboration, and problem-solving abilities help individuals contribute effectively in cross-functional teams. These competencies are crucial for ensuring accurate, high-quality training data that directly impacts the performance of Amazon's AI models.

How do I become an AI Data Trainer Amazon?

To become an AI Data Trainer at Amazon, candidates typically need a background in data analysis, machine learning, or related fields, along with strong attention to detail and language skills. Experience with data annotation tools and understanding of AI model training processes are also beneficial. Relevant certifications or training in data management and AI can improve prospects for this role.

How much do AI Data Trainers at Amazon make?

AI Data Trainers at Amazon typically earn between $15 and $25 per hour, depending on experience and location. The role often involves tasks like data annotation, quality assurance, and working with machine learning models, sometimes requiring familiarity with tools like Amazon Mechanical Turk or SageMaker.

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Ai Data Trainer Amazon jobs near you

Software Dev Engineer, Amazon Leo AI Foundations

Amazon

Redmond, WA • Hybrid

Full-time

Posted 3 days ago

New

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Role
This role is for a Software Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top

You'll build these systems using the latest AWS technologies and best-in-industry software engineering practices.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S

as a refugee or granted asylum.
Key job responsibilities
- Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources.
- Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer
- Establish metadata management with automated data classification and lineage tracking.
- Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates.
- Architect a centralized metrics repository that becomes the source of truth for all Leo metrics.
- Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
- Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
- Lead the design of semantic data models that balance analytical performance with AI retrieval requirements.
- Implement cross-domain federated query capabilities with sophisticated query optimization techniques.
- Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times.
- Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.
- Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards.
A day in the life
This role is for a Software Development Engineer who will build new cloud services and APIs that facilitate and orchestrate the Leo AI Foundations-enabling intelligent software operation across Leo devices such as satellites, ground gateways, and customer terminals. You will design and deliver low-latency, highly scalable architectures that are critical to providing high-quality internet service and AI capabilities to customers.
About the team
Amazon Leo AI Foundations builds the intelligent cloud backbone that powers AI-driven decision making across Amazon's Leo constellation - from satellites and ground gateways to customer terminals. Our team designs and operates large-scale data and compute systems that enable training, inference, and agentic intelligence for optimizing network performance, routing, and user experience in real time

We combine expertise in distributed systems, data lakehouse architectures, and applied machine learning to deliver scalable, low-latency AI capabilities that integrate seamlessly with Leo's software-defined space and ground systems. We move fast, innovate boldly, and work across boundaries to make global connectivity smarter and more efficient.

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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