Data Annotator
AI in this role
Summary:
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.
Work Setup: WFH. Candidates must be amenable to a night shift schedule.
General Responsibilities:
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, work with AI development team or dedicated lines of business to execute within deadlines
Collaborate within teams and across teams as part of process initiatives and performance standards
Expected to maintain SME knowledge of processes and support production work to maintain workflow and meet established deadlines
Potential assignment or rotation across related sub-functions
Exhibits flexibility and responds quickly to meet changing business needs including other job-related duties that may be assigned from time to time
Basic Qualifications:
Educational Background: At least 2 years of college education, or an equivalent combination of education and relevant work experience.
Professional 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.
Experience interpreting and applying business policies, procedures, or standardized guidelines is preferred.
Skills Required:
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.
Ability to identify inconsistencies and escalate issues appropriately.
Effective time management and organizational skills while handling multiple priorities.
Comfortable working with spreadsheets, evaluation platforms, and technology-enabled workflows.
Preferred Qualifications:
Have a natural curiosity for learning new things and be energized by the opportunity to help shape and influence a new type of work
Have demonstrated consistently strong performance in Results Focus, Teamwork, and Customer Focus
Enjoy working with data and feel confident with working in spreadsheets
Have the ability to work autonomously with minimal supervision
Be a frequent and effective contributor to team discussions
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
How we rate this
Data Annotator at Capital One rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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