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Data Labeling Quality Specialist Jobs (NOW HIRING)

Brooksource

Quality Specialist

Saint Louis, MO · On-site

$30 - $35/hr

Quality Specialist On-Site Role Compensation: $30 - $35 ABOUT THE ROLE Our client is seeking a ... Track and trend site quality data to identify improvement opportunities. * Support targeted Lean ...

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Data Labeling Quality Specialist information

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How much do data labeling quality specialist jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data labeling quality specialist in the United States is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.12 per hour, depending on experience, location, and employer.

What are some common challenges data labeling quality specialists face when ensuring high-quality labeled data?

Data Labeling Quality Specialists often encounter challenges such as inconsistent labeling guidelines, ambiguous data points, and maintaining high accuracy across large datasets. They must work closely with annotators, provide clear feedback, and regularly update documentation to address edge cases. Additionally, balancing speed and precision while meeting project deadlines requires strong attention to detail and effective communication within cross-functional teams.

What are the key skills and qualifications needed to thrive as a data labeling quality specialist, and why are they important?

To thrive as a Data Labeling Quality Specialist, you need strong attention to detail, analytical abilities, and a solid understanding of data labeling processes, often supported by a background in computer science or related fields. Familiarity with data annotation tools, quality assurance systems, and platforms like Labelbox or Supervisely is typically required. Excellent communication, problem-solving, and collaboration skills help in providing feedback and ensuring consistency across labeling teams. These skills and qualities are crucial to maintain high data quality, which directly impacts the performance of machine learning models.

What is a data labeling quality specialist?

A Data Labeling Quality Specialist is responsible for ensuring the accuracy and consistency of data labeling processes, which are crucial for training machine learning models. They review, audit, and provide feedback on labeled data to maintain high-quality standards. Their work involves collaborating with data annotators, identifying errors or inconsistencies, and implementing guidelines to improve labeling performance. This role helps ensure that AI systems are trained on reliable and accurate datasets, which directly impacts model effectiveness.

What is the difference between Data Labeling Quality Specialist vs Data Annotator?

AspectData Labeling Quality SpecialistData Annotator
CredentialsTypically requires attention to detail, familiarity with labeling tools, and sometimes certifications in data managementUsually entry-level, with minimal formal credentials needed
Work EnvironmentWorks in data labeling platforms, quality assurance processes, often in tech or AI companiesPerforms labeling tasks, often in similar environments but with less focus on quality control
Industry UsageCommon in AI, machine learning, and data-driven companiesUsed across various industries including tech, healthcare, and automotive for data preparation

The Data Labeling Quality Specialist focuses on ensuring the accuracy and quality of labeled data, often overseeing labeling processes. In contrast, the Data Annotator primarily performs the actual labeling tasks. Both roles are essential in data preparation, but the specialist emphasizes quality control and standards.

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Data Labeling Quality Specialist jobs near you
Infographic showing various Data Labeling Quality Specialist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,022 per year, or $22.6 per hour.

Croatian Data Labeling Analyst(Speech & Voice)

Welocalize

Seattle, WA • On-site

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

329th of 483 rated business services

Job description

Overview

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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 Croatian
  • 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

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