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Full Time Data Labeling information

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and the ability to follow instructions, often with no formal certification needed. You can find opportunities on online job boards and may need to complete a short training or test to demonstrate accuracy.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work on a freelance basis or per project, which can affect overall earnings.

Is data labeling work from home?

Full-time data labeling jobs are often available as remote positions, allowing workers to complete tasks from home using a computer and internet connection. These roles typically require attention to detail and familiarity with labeling tools or software, and they often offer flexible schedules. However, availability depends on the employer and specific job posting.

What is the difference between Full Time Data Labeling vs Data Annotation Specialist?

AspectFull Time Data LabelingData Annotation Specialist
CredentialsTypically requires basic computer skills, sometimes a high school diplomaSimilar, often no formal certification needed
Work EnvironmentRemote or office-based, part of a larger data teamRemote or on-site, focused on annotation tasks
Industry UsageCommon in AI/ML companies, tech firmsUsed across AI, healthcare, automotive industries

Full Time Data Labeling and Data Annotation Specialist roles often overlap in skills and work environment. The main difference lies in job scope; Full Time Data Labeling typically refers to a permanent position with broader responsibilities, while Data Annotation Specialist may be a more focused or freelance role. Both roles are essential for training AI models and are frequently found in similar industries.

Is data labelling a good career?

Data labeling is an entry-level job that involves annotating data for machine learning models, often requiring attention to detail and basic computer skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles.
More about Full Time Data Labeling jobs
What cities are hiring for Full Time Data Labeling jobs? Cities with the most Full Time Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
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What job categories do people searching Full Time Data Labeling jobs look for? The top searched job categories for Full Time Data Labeling jobs are:
Full Time Data Labeling jobs near you
Infographic showing various Full Time Data Labeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Arabic Data Labeling Analyst(Speech & Voice )

Arabic Data Labeling Analyst(Speech & Voice )

Welocalize

Chicago, IL

$26 - $28/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

303rd of 454 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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