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Contract Data Annotation Jobs in Bothell, WA (NOW HIRING)

Alignerr

Oncology Clinical Researcher

Seattle, WA · Remote

Type : Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do ... Prior experience with data annotation, data quality review, or AI evaluation workflows * Background ...

Alignerr

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 ... Potential for ongoing work and contract extension as new projects launch

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Prior experience with data annotation, data quality assurance, or AI evaluation workflows ... Potential for ongoing work and contract extension as new projects launch

Alignerr

Health Policy & Management

Seattle, WA · Remote

$123K - $132.70K/yr

This is a fully remote, flexible contract role where your domain knowledge directly shapes how AI ... Experience with data annotation, quality review, or evaluation workflows * Proficiency in data ...

Overland AI

3D Data Annotator

Seattle, WA · On-site

$90K - $130K/yr

Backed by eight-figure contracts across the Department of Defense, we are strengthening national ... Maintain strict adherence to annotation guidelines to ensure high standards of data quality and ...

Alignerr

Applied Physics

Seattle, WA · Remote

Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Design ... Experience with data annotation, scientific dataset evaluation, or quality assurance workflows

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Contract Data Annotation information

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What are the most commonly searched types of Data Annotation jobs in Bothell, WA? The most popular types of Data Annotation jobs in Bothell, WA are:
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What job categories do people searching Contract Data Annotation jobs in Bothell, WA look for? The top searched job categories for Contract Data Annotation jobs in Bothell, WA are:
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Contract Data Annotation jobs near you
Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)

Project Perseus | Data Quality Analyst - Turkish Speakers (Human-in-the-Loop AI)

Welocalize

Seattle, WA

$38/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 425 rated business services

Job description

Data Quality Analyst

Welo Data is looking for experienced, detail-oriented professionals to join our team. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details
  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.

What You'll Do

  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way

What We're Looking For

  • Native-level language proficiency and a university degree (Bachelor's or higher).
  • B2 or superior level of English.
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

$38 - $38 an hour Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Apply