ZipRecruiter

Log In

2

Full Time Data Annotation Jobs (NOW HIRING)

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 ...

Welocalize, Inc.

OR · 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.

OR · 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 ...

Immensa

Data Capture Engineer

Houston, TX · Hybrid

$109.30K - $131.30K/yr

Role Description Immensa is seeking a full-time Data Capture Engineer for a hybrid role based in ... Creation of annotation file, to annotate and highlight all required features. * Conduct final ...

New

Applied Intuition

Data Quality Specialist

Sunnyvale, CA · On-site

$30 - $45/hr

Familiarity with data annotation tools and workflows * Experience with data validation techniques ... For pay transparency purposes, the hourly rate range for this full-time position in the location ...

Talener

Account Manager - AI Data Services

Manhattan, NY · Remote

$160K/yr

Job Title Account Manager - AI Data Services Duration Full-time (FTE) Location Remote (US) Salary ... annotation, labeling, or ML training data is highly preferred Excellent relationship-building ...

next page

Showing results 1-20

People also search for

All JobsData Annotation JobsFull Time Data Annotation Jobs

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.

More about Full Time Data Annotation jobs
What cities are hiring for Full Time Data Annotation jobs? Cities with the most Full Time Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
What states have the most Full Time Data Annotation jobs? States with the most job openings for Full Time Data Annotation jobs include:
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

San Francisco, CA • On-site

Full-time

Posted 12 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

202nd of 425 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login
When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.
Thank you!
NOTICE: For Privacy Policy please review here
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:

Apply