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Full Time Data Labeling Jobs (NOW HIRING)

Welocalize, Inc.

Data Labeling Analyst

New York, NY

Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

OR

$16 - $20.75/hr

Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

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Full Time Data Labeling information

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.

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What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
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Full Time Data Labeling jobs near you
Infographic showing various Full Time Data Labeling job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 96% In-person, and 4% Remote job distribution.
Data Labeling Analyst

Data Labeling Analyst

Welocalize, Inc.

New York, NY

Full-time

Posted 6 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

204th of 426 rated business services

Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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