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Data Annotation Engineer Jobs in Seattle, WA (NOW HIRING)

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... Develop full-stack tooling and backend services for large-scale data annotation, validation, and ...

Amazon

PM, Science Annotation

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... We are hiring an experienced Program Manager who will lead annotation program and support a team of ...

Amazon

PM, Science Annotation

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... We are hiring an experienced Program Manager who will lead annotation program and support a team of ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively • Support data ...

Amazon

PM, Science Annotation

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... We are hiring an experienced Program Manager who will lead annotation program and support a team of ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Amazon

Catalog Specialist, RCX

Bellevue, WA

WW R&R includes business, product, operations, data, and software engineering teams, who together ... Perform data annotation required to train and evaluate ML models effectively Support data ...

Apple

Senior Software Engineer, Backend

Seattle, WA · On-site

$139K - $258K/yr

... AIML Annotation Platform team provides frameworks and services for enabling effective data ... Engage in code review, pair programming and architecture discussions with other members of the team.

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

... engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way. BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Prior experience with data annotation, data quality assurance, or AI evaluation workflows

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and ...

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Showing results 1-20

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Seattle, WA

Data Annotation Engineer information

See Seattle, WA salary details

$58.6K

$167.9K

$224.3K

How much do data annotation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data annotation engineer in Seattle, WA is $167,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $223,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Seattle, WA? For Data Annotation Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Seattle, WA look for? The top searched job categories for Data Annotation Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Annotation Engineer jobs? Cities near Seattle, WA with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you

Data Platform Engineer (Python)

Alignerr

Seattle, WA • Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically challenging work. If you've spent years building production Python systems and want to apply that experience at the frontier of AI development - this is the role.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficient with workflow orchestration tools to manage complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver consistently
Nice to Have
  • Prior experience with data annotation, data quality, or model evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote and async-friendly - work from wherever you do your best work
  • Freelance autonomy with the structure and consistency of ongoing project-based work
  • Make a tangible impact on the infrastructure powering next-generation AI models
  • Potential for extended engagement and additional projects as the work evolves

Apply