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Overnight Amazon Data Annotation Jobs (NOW HIRING)

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ... Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure Clearance: AN ACTIVE ...

It will require working overnight hours between approximately 6pm-8am. Work schedule may not be a ... NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant ...

It will require working overnight hours between approximately 6pm-8am. Work schedule may not be a ... NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant ...

It will require working overnight hours between approximately 6pm-8am. Work schedule may not be a ... NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant ...

It will require working overnight hours between approximately 6pm-8am. Work schedule may not be a ... NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant ...

It will require working overnight hours between approximately 6pm-8am. Work schedule may not be a ... NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant ...

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Overnight Amazon Data Annotation information

How long is the Amazon overnight shift?

The Amazon overnight shift typically runs from around 10:00 PM to 6:30 AM, totaling approximately 8.5 hours. Shift durations may vary slightly depending on the facility and specific operational needs, and employees often work scheduled hours within this timeframe.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the task and the employer. These roles often require attention to detail and familiarity with annotation tools, and pay rates can vary based on experience and location.

How much does Amazon pay for night shift?

Amazon data annotation jobs, including overnight shifts, typically pay around $15 to $20 per hour, depending on location and experience. Night shift roles often include a shift differential or bonus, which can increase overall pay. Exact rates vary by region and specific job postings.

What is the difference between Overnight Amazon Data Annotation vs Data Labeling Specialist?

AspectOvernight Amazon Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, overnight shiftsRemote or on-site, flexible hours
Industry UsagePrimarily e-commerce, AI training for AmazonVarious industries including AI, healthcare, automotive
Search & Comparison IntentUnderstanding overnight annotation roles for AmazonGeneral data labeling roles across industries

Overnight Amazon Data Annotation involves labeling data specifically for Amazon's AI and machine learning needs, often during overnight shifts. Data Labeling Specialist is a broader role that includes labeling data for various industries and projects, not limited to Amazon. Both roles require attention to detail and basic technical skills, but Overnight Amazon Data Annotation is more specialized for Amazon's e-commerce and AI training purposes.

Will Amazon really pay you to work from home?

Amazon Data Annotation jobs are typically remote positions that pay employees for their work from home. Workers are compensated for completing annotation tasks using specific tools and often need to meet productivity and quality standards. Payment is usually processed through direct deposit or other standard methods, depending on the company's policies.
More about Overnight Amazon Data Annotation jobs
What cities are hiring for Overnight Amazon Data Annotation jobs? Cities with the most Overnight 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 Overnight Amazon Data Annotation jobs? States with the most job openings for Overnight Amazon Data Annotation jobs include:
What job categories do people searching Overnight Amazon Data Annotation jobs look for? The top searched job categories for Overnight Amazon Data Annotation jobs are:
Infographic showing various Overnight Amazon Data Annotation job openings in the United States as of June 2026, with employment types broken down into 46% Full Time, 42% Part Time, and 12% Contract. Highlights an 90% Physical, and 10% Remote job distribution.
Software Development Engineer II, SKG Team

Software Development Engineer II, SKG Team

Amazon

Seattle, WA

Full-time

Posted 2 days ago


Key responsibilities

  • Build and own end-to-end features in the Data Center Alarming Platform, including suppression, correlation, and deduplication logic for alarm signals.

  • Integrate and orchestrate AI services such as Amazon Bedrock to enable alarm summarization, pattern detection, and triage assistance.

  • Contribute to the Automated Triage and Ticketing Engine by developing services that classify, prioritize, and route alarms to appropriate engineering operations teams.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,910 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon's global data center infrastructure generates millions of operational alarms daily, and right now most of the triage, analysis, and routing of those alarms requires significant human effort from engineering operations teams

The SKG team within DC BRIDGE is building intelligent systems that fundamentally change how data center engineers interact with alarm data: reducing noise, automating triage, and applying generative AI to surface actionable insights from complex operational signals.
This is a builder role on a team that ships. We're a small team of SDEs with a senior technical leader setting direction, and we deploy to production multiple times per week. As an SDE2 you'll own features end-to-end - design, code, test, deploy, operate - and contribute meaningfully to the team's technical decisions

The technology strategy for GenAI is still being shaped, which means your design proposals and prototypes will directly influence what we build next.
Tech stack: TypeScript (primary for CDK and service code), Python (data processing, Lambda functions, AI service integration). AWS services include Lambda, DynamoDB, SQS, SNS, S3, CloudWatch, Amazon Bedrock, API Gateway, and Route 53. CI/CD runs on Amazon's internal build, test, and deployment tooling.
Key job responsibilities
- Build the services in the Data Center Alarming Platform that turn an alarm firehose into actionable signal: suppression, correlation, and deduplication logic running across hundreds of data centers

You'll own features end-to-end and make the implementation decisions yourself
- Build integrations with Amazon Bedrock for natural-language alarm summarization, pattern detection, and triage assistance. This is an applied engineering role - you'll integrate and orchestrate AI services, not build or train models. Expect to prototype, measure, and iterate
- Contribute to the Automated Triage and Ticketing Engine: services that classify, prioritize, and route alarms to the appropriate data center engineering operations teams with contextual information for faster resolution
- Define infrastructure as code using AWS CDK.

You'll write the constructs, wire up the pipelines, and own the operational health of what you deploy
- Participate in design reviews - both authoring designs for your own work and providing meaningful feedback on others'. You're expected to bring your own proposals and trade-off analysis
- Mentor SDE1s on the team through code review, pairing, and helping them grow into autonomous contributors. Train new teammates on how our systems work and how they fit into the bigger picture
A day in the life
Your morning might start with a standup giving an update on a new alarm correlation service, then shift into a code review where you give thoughtful feedback to an SDE1 on a Lambda function.

You spend a focused block writing TypeScript CDK to wire up a new alarm analysis pipeline, then debug a production issue that surfaced overnight - finding the root cause and writing a permanent fix. After lunch you join a design review for a teammate's proposal, asking the questions that surface unstated assumptions. You wrap up by prototyping a Bedrock integration for alarm summarization.
About the team
SKG sits within the DC BRIDGE organization, which builds software platforms supporting Amazon's data center engineering operations worldwide

Our systems directly impact the reliability and efficiency of the physical infrastructure that powers AWS and Amazon's global services. The team is led by Eleanor Scott and operates with high ownership and autonomy over our services end-to-end. The Seattle team is a small group of SDEs.

As an SDE2 you'll be a core autonomous contributor: owning features, raising the bar in reviews, and helping more junior engineers grow.
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.
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.
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 we strive for flexibility as part of our working 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 (CORE) and AmazeCon (gender diversity) 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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US