Welocalize
Welocalize

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If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday ... Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis:

OR · On-site

If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday ... Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis:

If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday ... Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis:

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Welocalize Jobs Information

What is it like to work at Welocalize?

Welocalize is a global leader in translation, localization, and content management solutions, with a culture that values collaboration, innovation, and customer satisfaction. The company's team structure is diverse and global, with employees working in various roles such as linguists, project managers, and software developers, often collaborating across different time zones and locations. Working at Welocalize may appeal to candidates who are interested in a dynamic and fast-paced environment with opportunities for professional growth and development in the field of language and technology.

Is it stressful to work at Welocalize?

Some people feel stressed out here.
60% of people say they often feel stressed out at work.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and June 2026.

Do people at Welocalize enjoy their jobs?

Most people enjoy their job.
70% of people report they enjoy their job.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and June 2026.

Do people at Welocalize recommend working with their team?

Only some people recommend working with their team.
60% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and June 2026.
What other companies are hiring for Data Analyst jobs?
What are the most popular categories at Welocalize?
Infographic showing various Data Analyst job openings at Welocalize in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 79% Physical, and 21% Remote job distribution.
Data Labeling Analyst

Full-time

Posted 13 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 428 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

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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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