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Full Time Data Annotation Jobs in New York (NOW HIRING)

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

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 ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

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 ...

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

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 ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

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Full Time Data Annotation information

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

AspectFull Time Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; training in labeling tools often provided
Work EnvironmentOffice or remote; part of a larger data teamPrimarily remote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects
Search & Comparison IntentUnderstanding full-time roles in data annotationLooking for specialized labeling positions

Full Time Data Annotation involves comprehensive responsibilities within a team, often requiring a broader understanding of data processes. Data Labeling Specialists focus specifically on labeling data accurately for AI and machine learning models. Both roles are essential in AI development, but Full Time Data Annotation roles typically encompass more tasks and collaboration, whereas Data Labeling Specialists concentrate on precise data tagging.

What are the most commonly searched types of Data Annotation jobs in New York? The most popular types of Data Annotation jobs in New York are:
What are popular job titles related to Full Time Data Annotation jobs in New York? For Full Time Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Full Time Data Annotation jobs in New York look for? The top searched job categories for Full Time Data Annotation jobs in New York are:
Full Time Data Annotation jobs near you
Infographic showing various Full Time Data Annotation job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

New York, NY • On-site

Full-time

Posted 5 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

330th of 487 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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