Role at a glance
- Job function
-
AI & Data Other
- Salary
- Not Disclosed
- Location
- Alabang, Muntinlupa City
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Minimum of 1 year of relevant work experience in a BPO, customer service, operations, quality evaluation, content review, or a similar...
- Education
- At least 2 years of college education, or an equivalent combination of education and relevant work experience.
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Role Summary
The Data Annotator reviews and labels data to support machine learning model and AI development. The role is work-from-home and requires candidates to be amenable to a night shift schedule.
What You'll Do
- Review and analyze AI-generated responses for accuracy, clarity, and relevance.
- Annotate data entries and conduct research according to Data Scientist instructions and company guidelines.
- Assist in developing and refining annotation guidelines to support consistent, high-quality labeling.
- Identify and report data quality issues or anomalies.
- Manage multiple requests and collaborate with AI development teams or business lines to meet deadlines.
- Maintain process knowledge and support production work; assignments may rotate across related sub-functions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: At least 2 years of college education or an equivalent combination of education and relevant work experience; minimum 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, attention to detail, analytical and critical thinking, written and verbal communication, consistent application of evaluation rubrics and operational guidelines, issue identification and escalation, time management and organization across multiple priorities, and comfort with spreadsheets, evaluation platforms, and technology-enabled workflows.
Required
- 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...
- 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.
Preferred
- Experience interpreting and applying business policies, procedures, or standardized guidelines is preferred.
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 [email protected]. 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 [email protected]
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).
About the company
Capital One
Large Enterprise
Capital One is a prominent financial services company headquartered in McLean, Virginia, specializing in credit cards, banking, auto loans, and savings accounts. Established in 1994, the company has grown to become one of the largest issuers of credit cards in the United States, known for its innovative approach to banking and commitment to customer service. Capital One leverages technology and data analysis to enhance financial solutions, making banking easier and more accessible for its diverse customer base. With a strong focus on inclusion and community engagement, Capital One offers various opportunities for students and recent graduates to launch their careers in finance and technology.