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Amazon Data Annotation Jobs in Washington (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 ...

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Designs how data will be stored, accessed, used, integrated, and managed by different data regimes ... Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ...

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Designs how data will be stored, accessed, used, integrated, and managed by different data regimes ... Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ...

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Designs how data will be stored, accessed, used, integrated, and managed by different data regimes ... Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server ...

Amazon Data Annotation information

See Washington salary details

$10

$25

$47

How much do amazon data annotation jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for amazon data annotation in Washington is $25.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.07 and $32.00 per hour, depending on experience, location, and employer.

How much do Amazon data annotation jobs pay?

Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience, location, and task complexity. These roles often require attention to detail and familiarity with annotation tools, and may offer flexible schedules for remote work.

What are the key skills and qualifications needed to thrive in the Amazon Data Annotation position, and why are they important?

To thrive as an Amazon Data Annotation specialist, you need keen attention to detail, accuracy, and proficiency in data labeling or annotation, often supported by a background in data entry or related fields. Familiarity with annotation tools, Amazon’s proprietary data platforms, and in some cases basic understanding of programming languages or machine learning concepts is beneficial. Strong communication skills, adaptability, and the ability to work independently or with minimal supervision help individuals excel in the role. These abilities are crucial for ensuring high-quality, reliable data that supports Amazon’s AI and machine learning initiatives.

What is an Amazon Data Annotation job?

An Amazon Data Annotation job involves labeling or tagging data such as text, images, audio, or videos to improve machine learning models. Annotators follow specific guidelines to provide accurate labels that help refine Amazon's AI systems, including Alexa and product recommendations. This work is often detail-oriented and may require understanding context, language nuances, or specific industry knowledge. The role can be full-time or contract-based and may involve remote or on-site work, depending on the project.

Does Amazon really pay you to work from home?

Amazon Data Annotation jobs are typically remote positions that pay employees for their work from home. Compensation varies based on the role and hours worked, and employees are usually paid through direct deposit on a regular schedule. These jobs often require attention to detail and familiarity with annotation tools.

What does a typical day look like for an Amazon Data Annotation specialist?

A typical day as an Amazon Data Annotation specialist involves reviewing, labeling, and annotating diverse datasets, such as images, videos, or text, using specialized software and following detailed guidelines. You may collaborate with team members or project leads to clarify instructions and ensure consistency across annotations. Periodic quality checks and feedback sessions are common, helping you refine your work and maintain high standards. While much of the work is independent, clear communication and responsiveness are important for meeting project deadlines and successfully supporting Amazon’s AI development goals.

What is annotation in Amazon?

In the context of Amazon data annotation jobs, annotation involves labeling or tagging data such as images, videos, or text to help train machine learning models. Workers use specialized tools to add accurate labels, which are essential for improving AI systems' performance. Attention to detail and understanding of the data are important for this role.

Does data annotation actually pay well?

Data annotation jobs, including roles like Amazon Data Annotation, typically offer hourly wages that are close to minimum wage or slightly above, depending on the employer and location. Pay rates can vary based on the complexity of tasks, required skills, and whether the work is freelance or full-time, but generally do not provide high salaries. Many positions are suitable for entry-level workers and may include flexible schedules or remote work options.
What are the most commonly searched types of Amazon Data Annotation jobs in Washington? The most popular types of Amazon Data Annotation jobs in Washington are:
What are popular job titles related to Amazon Data Annotation jobs in Washington? For Amazon Data Annotation jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Amazon Data Annotation jobs? Cities in Washington with the most Amazon Data Annotation job openings:
DATA ENGINEER

DATA ENGINEER

Beyond SOF

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 10 days ago


Job description

Essential Job Responsibilities:
Designs, implements, and operates data management systems for intelligence needs
Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.
Works with data users to determine, create, and populate optimal data architectures, structures, and systems.
Plans, designs, and optimizes data throughput and query performance.
Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume. ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness ..
Serves as the technical representative present during all deployments to address any technical or security issues.
Advises government principals as to the potential implications of said solutions.
Assists with ensuring certification for new releases are presented to the Change Advisory Board.
Coordinates activities, monitor progress, interact with UNIT personnel and Chief Information Office (CIO) personnel to meet requirements in achieving certification and authorization to release updates on NETWORK
Possesses a general understanding of the business cycle associated with conventional arms purchase transactions and various IC message traffic systems
Possesses the ability to visually display quantitative information
Applies the following technical skills to develop an ORACLE database and PostgreSQL database and enhance its capabilities:
Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server Pages (JSP) 2.2, Servlet Filters, Java Server Pages Standard Tag Library (JSTL)
Web-HTML, Javascript, Dynamic HTML (DHTML) and Asynchronous Javascript and XML (AJAX)
Open Source APls -Struts (MVC framework), Hibernate (Object Relational Mapping (ORM), persistence, caching, searching), iText (PDF generation)

POI (MS Excel generation), JFreeChart (graphs & charts), Simple (XML serialization), Display Tag (table generation)
Database-ORACLE 12. l.0.2vl3 database and PostgreSQL 11.1-Rl database (or most recent version), maintenance. tuning and configuration
Email -JavaMail
Security -Java Cryptography Extensions/Java Secure Socket Extension (JCE/JSSE) APL DoDIIS Public Key Infrastructure (PKI), HTTPS/SSL programming and configuration, CAPCO (rules and automated parsing or validation)

Access Controls: Role Base Access Controls (RBAC), Mandatory Access Control (MAC) and Discretionary Access Control (DAC), PL3 security and auditing requirements
Web/App Server-Apache Tomcat 7+
AWS Certification: Our FOMA initiative relies heavily on Amazon Web Services (AWS) infrastructure
Clearance: AN ACTIVE TS/SCI with CI scope polygraph is required