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Data Annotation Jobs in Seattle, WA (NOW HIRING)

... data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data ...

BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Bachelor's degree in English, Communications, Linguistics ...

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Data Annotation information

See Seattle, WA salary details

$9

$27

$58

How much do data annotation jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data annotation in Seattle, WA is $27.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.47 and $32.52 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

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 Data Annotation jobs in Seattle, WA? For Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Seattle, WA look for? The top searched job categories for Data Annotation jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Annotation jobs? Cities near Seattle, WA with the most Data Annotation job openings:
Infographic showing various Data Annotation job openings in Seattle, WA as of June 2026, with employment types broken down into 9% Internship, 65% Full Time, 4% Temporary, and 22% Contract. Highlights an 74% In-person, 9% Hybrid, and 17% Remote job distribution, with an average salary of $56,809 per year, or $27.3 per hour.

Rust Software Engineer - Distributed Systems

Alignerr

Seattle, WA • Remote

Other

Posted 4 days ago


Job description

Senior Rust Engineer - AI Data & Infrastructure (AI Training)
About the Role
What if your Rust expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for a Senior Rust Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on every day.
This is a fully remote, flexible contract role for an experienced engineer who lives and breathes Rust and wants to work on genuinely high-impact, production-grade systems - not toy problems.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance distributed systems in
    Rust
    supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale
    data annotation
    , validation, and quality control
  • Hunt down and resolve complex concurrency issues - deadlocks, race conditions, and subtle async bugs
  • Improve reliability, performance, and safety across existing Rust codebases
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in system behavior and implement scalable, production-ready fixes
  • Participate in synchronous design reviews and iterate on architecture decisions with sharp peers
Who You Are
  • 3-5+ years
    of professional experience writing production Rust - this is a must, not a nice-to-have
  • Strong background building distributed services using RPC frameworks, distributed state, or consensus protocols
  • Proven ability to debug complex concurrency issues using async instrumentation and tracing tools
  • Native or fluent English speaker with clear written and verbal communication skills
  • Self-directed and reliable - you can commit to 20-40 hours per week and deliver without hand-holding
  • You care about code quality, correctness, and safety as much as you care about shipping
Nice to Have
  • Prior experience with data annotation systems, data quality pipelines, or AI evaluation infrastructure
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with developer tooling, systems programming, or high-throughput data infrastructure
Why Join Us
  • Work on real production systems powering cutting-edge AI research alongside leading AI labs
  • Fully remote and async-friendly - work from wherever you do your best thinking
  • Meaningful, technically interesting work - no CRUD apps, no filler projects
  • Freelance autonomy with the structure of a focused, collaborative engineering team
  • Potential for ongoing engagement and expanded scope as new projects launch