Jobs / United States / Capital One Services LLC
Data Annotator
Capital One Services LLC · 🇺🇸 Alabang, Muntinlupa City
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Capital One Services LLC paid sponsored hires in similar roles232 certified filings for “Senior Data Analyst” (Data Scientists) in VA: $92k–$131k, median $113k. Most were filed at wage level IV (42%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 1 day agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Capital One Services LLC
The US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Capital One Services LLC →
About the role
Alabang (96050), Philippines, Muntinlupa City, National Capital Region Data Annotator 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 No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations re