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Data Annotator
About the role
WFH night-shift Data Annotator role in Alabang/Muntinlupa reviewing, evaluating, and annotating data to train AI models. Work is labeling and quality review for Capital One's Tech organization.
What you'll do
- Review and analyze AI-generated responses for accuracy, clarity, and relevance
- Annotate data entry, perform data research activities according to Data Scientist instruction and Capital One guidelines
- Assist in developing and refining annotation guidelines to ensure consistency and quality in the labeling process
- Identify and report any data quality issues or anomalies encountered during annotation process
- Manage workload appropriately; efficiently service multiple requests
- Collaborate within teams and across teams as part of process initiatives and performance standards
Requirements
- At least 2 years of college education, or an equivalent combination of education and relevant work experience
- Minimum of 1 year of relevant work experience in a BPO, customer service, operations, quality evaluation, content review, or a similar process-driven environment
- Strong reading comprehension and attention to detail
- Sound analytical and critical thinking skills
- Strong written and verbal communication skills
- Ability to consistently apply evaluation rubrics and operational guidelines
- Candidates must be amenable to a night shift schedule
About Capital One
The Emerging Technologies Enablement Team at Capital One performs data labeling tasks that support machine learning model and AI development.
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