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Full Time Data Annotation Jobs (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$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 Quality Analyst

New York, NY

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 Quality Analyst

New York, NY

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 ...

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

... annotation activities, and ensures data readiness, traceability, and compliance throughout the AI ... Please note - this is a full time, onsite role located in Waukesha, WI. Roles and Responsibilities ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$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 ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · 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 ...

Figure

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

Own Figure's external annotation and review vendor strategy end to end, from sourcing through ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

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Full Time Data Annotation information

Can I use ChatGPT for data annotation?

Full Time Data Annotation roles typically require manual labeling of data to ensure accuracy, as AI tools like ChatGPT can assist but are not sufficient alone for high-quality annotation. Using ChatGPT can help generate initial labels or suggestions, but human oversight is essential to verify correctness and handle complex cases. Familiarity with annotation tools and guidelines is also important for this role.

How much does data annotation actually pay?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail. Pay rates can vary based on experience, tools used, and the platform offering the work.

Are data annotations still hiring?

Data annotation jobs are still available as companies continue to expand their AI and machine learning projects. These roles often require attention to detail and familiarity with annotation tools, and they are frequently offered as remote or flexible positions. Job availability can vary based on industry demand and company needs.

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.

Is it hard to get hired for data annotation?

Getting hired for a full-time data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. The hiring process is often straightforward, with many companies offering remote positions and minimal formal requirements, making entry relatively accessible for beginners.
More about Full Time Data Annotation jobs
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What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
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What job categories do people searching Full Time Data Annotation jobs look for? The top searched job categories for Full Time Data Annotation jobs are:
Full Time Data Annotation jobs near you
Infographic showing various Full Time Data Annotation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

San Francisco, CA

Full-time

Posted 3 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

336th of 429 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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