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Ai Labelling Jobs in Seattle, WA (NOW HIRING)

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The AI data labeling market is exploding - $3.2B in 2026, projected $25B by 2028 - and the bottleneck to better AI is no longer compute, it's high-quality labeled data at scale. We're building the ...

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Ai Labelling information

See Seattle, WA salary details

$15

$61

$82

How much do ai labelling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai labelling in Seattle, WA is $61.94, according to ZipRecruiter salary data. Most workers in this role earn between $53.89 and $73.85 per hour, depending on experience, location, and employer.

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What are popular job titles related to Ai Labelling jobs in Seattle, WA?

For Ai Labelling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ai Labelling jobs in Seattle, WA look for?

The top searched job categories for Ai Labelling jobs in Seattle, WA are:

Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in Seattle, WA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $128,829 per year, or $61.9 per hour.

Project Perseus | Speech & Voice AI Analyst - Czech Speakers

Welocalize

Redmond, WA • On-site

$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

336th of 495 rated business services

Job description

Data Labeling Analyst

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • 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: $26 - $28/hour

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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You'll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What We're Looking For

  • Native-level fluency in Czech
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus

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.)

Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

$26 - $28 an hour Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It's a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

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