Data Labeling Associate

Welocalize, Inc; New York (NY); On-site; USD 50,000 - 70,000; Full time

Job summary

Welocalize, Inc is seeking a Data Labeling Associate for their Client Field Office in San Francisco, California. The ideal candidate will update machine learning models and ensure efficacy through data annotation and quality assurance.

This role requires a bachelor's degree in Computer Science, Linguistics, or a related field, along with experience in collaborative environments and strong analytical skills. Familiarity with command-line tools is a plus.

Qualifications

• Foundational understanding of machine learning and data annotation.
• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills required.

Responsibilities

• Update training and test model databases with new data.
• Evaluate trained model performance.
• Ensure data integrity throughout the workflow.
• Annotate data accurately per project goals.
• Conduct manual quality analysis of model results.

Skills

Machine learning

Data annotation

Quality assurance

Natural language processing

Analytical skills

Education

Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics

Tools

Command-line tools

Job description

## Data Labeling AssociateApplylocations: CA Client Field Office (San Fran Bay Area): New York, New York: US (remote)time type: Full timeposted on: Posted 6 Days Agotime left to apply: End Date: July 31, 2026 (30+ days left to apply)job requisition id: R0007638If 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 [e-mail] subject Workday Candidate LoginWhen 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: