Data Labeling Associate

Welocalize, Inc; United States; On-site; USD 60,000 - 80,000; Full time

Job summary

Welocalize, Inc is seeking candidates with a background in machine learning and data annotation to update and evaluate models, ensuring data integrity while managing linguistic tasks. The ideal applicant will have a Bachelor's degree and demonstrate strong analytical skills, working collaboratively in a fast-paced environment.

This role requires familiarity with command-line interfaces for tasks relating to data management and quality assurance. Welocalize specializes in providing AI-driven content solutions, focusing on scalable and precise multilingual content.

Qualifications

• Understanding of machine learning, data annotation, and quality assurance.
• Ability to work in a fast-paced, collaborative environment.
• Familiarity with basic natural language processing.

Responsibilities

• Update training and test model databases with new data.
• Initiate model training processes using internal tools.
• Design and develop test datasets as per project criteria.
• Conduct manual quality analysis of model results.
• Apply knowledge of linguistics in data processing tasks.

Skills

Machine learning fundamentals

Data annotation

Quality assurance

Natural language processing

Command-line tools

Analytical skills

Education

Bachelor's degree in Computer Science, Data Science, Linguistics, or related field

Job description

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.
• 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

Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.