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Amazon Data Annotation Jobs in Washington (NOW HIRING)

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Implement extraction classification clustering annotation entity resolution * Improve dataset ... AWS Batch | Agile | Amazon Athena | Amazon Redshift | Apache Airflow * Data Mining | Deep learning ...

Beyond SOF

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 ...

Beyond SOF

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 ...

All JobsAmazon Data Annotation JobsAmazon Data Annotation Jobs in Washington

Amazon Data Annotation information

See Washington salary details

$10

$25

$47

How much do amazon data annotation jobs pay per hour?

As of Aug 22, 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.

What is an Amazon Data Annotation?

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.

What does an Amazon Data Annotation do?

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 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 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 job categories do people searching Amazon Data Annotation jobs in Washington look for?

The top searched job categories for Amazon Data Annotation jobs in Washington are:

What cities in Washington are hiring for Amazon Data Annotation jobs?

Cities in Washington with the most Amazon Data Annotation job openings:

Amazon Data Annotation jobs near you
Infographic showing various Amazon Data Annotation job openings in Washington as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $53,810 per year, or $25.9 per hour.

Featured Feat. Data Scientist

Aitopics

Washington, DC • On-site

$80 - $157/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Georgetown University: Main Campus: Walsh School of Foreign Service - 500 First St NW 7th Floor

USD 80K-157K Mid-level

Responsibilities
  • Communicate findings to policy audiences
  • Conduct research design and data method identification
  • Create accessible visualizations and web interfaces
  • Design evaluate and implement modeling solutions
  • Develop AI-enabled solutions
  • Document and communicate methods and data resources
  • Implement extraction classification clustering annotation entity resolution
  • Improve dataset quality and utility
  • Ingest structured and unstructured datasets
  • Interpret results and draw inferences
  • Monitor AI machine learning biotechnology and national security policy trends
Skills
  • A/B | A/B Testing | B testing | Causal Inference | Data Mining
  • AWS Batch | Agile | Amazon Athena | Amazon Redshift | Apache Airflow
  • Data Mining | Deep learning | Error correction | Error modeling | Language Processing
  • Algorithms | Clustering | Component analysis | Data Structures | Deep learning
  • Adobe Analytics | Agentic AI | Anthropic Claude | Benchmarking | Classification
  • Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs
  • Dash | Data Mining | Data Modeling | Data Quality | Data Visualization
  • Electromagnetism | Mechanics | NumPy | Numerical Simulation | Pandas
  • Computational physics | NumPy | Numerical Simulation | Pandas | Physics modeling
  • Electromagnetism | Mechanics | NumPy | Numerical Methods | Numerical Simulation
  • C# | Computational physics | MATLAB | NumPy | Numerical Simulation
  • Computer Vision | Convolutional Neural Networks | Data Pipelines | Deep learning | Gradient boosting
Benefits & Perks
  • 401k retirement plan | Career growth opportunities | Dental insurance | Employee Rental Discounts | Floating paid holidays
  • 401k match | Company holidays | Dental insurance | Employee assistance program | Health and wellness program
  • 401k | 401k match | AD and D insurance | Commuter benefits | Dental insurance | Employee assistance program
  • 401k retirement plan | Equity package | Growth opportunities | Hybrid work schedule | Medical, dental, and vision coverage
  • Flexible work hours | Learning culture | Mentoring | Sponsorship | Work-life balance
  • 401k | Disability insurance | Employee stock purchase plan | Health insurance | Life insurance
  • Catered lunches | Summer party | Team collaboration
Employment Options
  • Senior-level Full Time
  • Flexible schedule | Freelance projects | Part-time work | Project based work
  • Flexible schedule | Freelance opportunities | Part-time hours | Project based work
  • Part-time freelance | Project based work
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