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

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... annotation tooling, and evaluation systems that leading AI labs depend on. This is a fully remote ...

Senior Machine Learning Engineer

Seattle, WA · Remote

$119K - $163.40K/yr

Self-directed and comfortable working independently in an asynchronous remote environment Nice to Have * Prior experience with data annotation, data quality assurance, or model evaluation systems

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Annotation Lead

Seattle, WA · Remote

$45 - $50/hr

These opportunities are remote but they must reside in the area (Seattle in this case) to know the ... Works directly with experienced Operations Managers, ML Engineers, Data Scientist, Software ...

Prior experience with data annotation, data quality review, or AI evaluation workflows * Background ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

... remote environment Nice to Have * Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field * Prior experience with data annotation, data quality assurance, or AI ...

Senior Machine Learning Expert

Seattle, WA · Remote

$99.10K - $121.80K/yr

Prior experience with data annotation, data quality assurance, or model evaluation systems * Top ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

Health Policy & Management

Seattle, WA · Remote

$123K - $132.70K/yr

Experience with data annotation, quality review, or evaluation workflows * Proficiency in data ... Fully remote and flexible - Work on your own schedule, 10-40 hours per week * Engage with cutting ...

Experience with data annotation, scientific dataset evaluation, or quality assurance workflows ... Fully remote and asynchronous - work when and where it suits you * Freelance autonomy with the ...

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze realistic data security and DLP ... Prior experience contributing to AI training, annotation, or evaluation projects Why Join Us * Work ...

Real Estate Specialist

Seattle, WA · Remote

$25 - $33/hr

Develop and maintain annotation guidelines and best practices. * Provide training data to engineers ... remote, only applicants who submit a PDF resume with a completed candidate questionnaire and ...

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Remote Data Annotation information

See Seattle, WA salary details

$10

$37

$82

How much do remote data annotation jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote data annotation in Seattle, WA is $37.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $48.13 per hour, depending on experience, location, and employer.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

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

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
What are the most commonly searched types of Data Annotation jobs in Seattle, WA? The most popular types of Data Annotation jobs in Seattle, WA are:
What are popular job titles related to Remote Data Annotation jobs in Seattle, WA? For Remote Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation jobs in Seattle, WA look for? The top searched job categories for Remote Data Annotation jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Annotation jobs? Cities near Seattle, WA with the most Remote Data Annotation job openings:

Backend Developer - Data Annotation Systems

Alignerr

Seattle, WA • Remote

Other

Posted 26 days ago


Job description

Backend Developer - Data Annotation Systems (AI Infrastructure)
About the Role
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI models? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role for an experienced engineer who wants to work on real production systems with meaningful impact - not toy projects.
  • 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 large-scale AI data pipelines and evaluation workflows
  • Develop full-stack backend tooling and services for data annotation, validation, and quality control at scale
  • Build and maintain asynchronous task queues to handle long-running background jobs reliably
  • Optimize database queries for high-read/write workloads and serve data via real-time protocols such as WebSockets
  • Improve reliability, performance, and robustness across existing Python codebases
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • Strong full-stack developer with a solid systems programming background
  • 3-5+ years of professional experience writing production-grade Python
  • Experienced building asynchronous task queues for long-running background processing
  • Proficient in optimizing database queries for high-throughput applications
  • Comfortable working with real-time data protocols (e.g., WebSockets)
  • Clear, precise written and verbal communicator
  • Able to commit 20-40 hours per week consistently
  • Native or fluent English speaker
Nice to Have
  • Prior experience with data annotation platforms, data quality systems, or evaluation pipelines
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working alongside research or data science teams
Why Join Us
  • Work directly with leading AI labs on production systems that matter
  • Fully remote and flexible - work from anywhere on a schedule that suits you
  • Freelance autonomy with the structure of high-quality, technically challenging work
  • Contribute to AI infrastructure that influences how next-generation models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch