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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.
Job Responsibility:
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
Requirements:
Bachelor’s Degree or a combination of education and relevant experience in the field
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:
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
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