Data Annotator

Capital One Capital One · Banking · Alabang, Philippines

The Emerging Technologies Enablement Team (ETE) performs data labeling tasks that support machine learning model and AI development within the Tech organization and across Capital One. This team plays a critical role in reviewing, evaluating, and annotating data to train AI models with the highest quality, accuracy, relevance, fluency, and compliance standards.

What you'd actually do

  1. Review and analyze AI-generated responses for accuracy, clarity, and relevance
  2. Annotate data entry, perform data research activities according to Data Scientist instruction and Capital One guidelines
  3. Assist in developing and refining annotation guidelines to ensure consistency and quality in the labeling process
  4. Identify and report any data quality issues or anomalies encountered during annotation process
  5. Manage workload appropriately; efficiently service multiple requests, work with AI development team or dedicated lines of business to execute within deadlines

Skills

Required

  • Bachelor’s Degree or a combination of education and relevant experience
  • Minimum of 1 year of relevant work-related experience in a BPO or similar industry
  • Good communication skills
  • Analytical skills and Critical Thinking Skills for content evaluation
  • Strong skills in writing and editing

Nice to have

  • Natural curiosity for learning new things
  • Demonstrated consistently strong performance in Results Focus, Teamwork, and Customer Focus
  • Enjoy working with data and feel confident with working in spreadsheets
  • Ability to work autonomously with minimal supervision
  • Frequent and effective contributor to team discussions

Other signals

  • data labeling
  • training AI models
  • annotation guidelines