Data Annotator
Capital One
The Data Annotator role involves reviewing AI-generated responses and annotating data to support machine learning model development at Capital One.
Last checked on August 22, 2026. We may earn a commission when you click through.
This position is ideal for tech-savvy individuals looking to break into the data science field. However, the night shift may deter those who prefer daytime work hours.
Data Annotator
Capital One
Updated 2 days agoYou'll be redirected to capitalonecareers.com
This position is ideal for tech-savvy individuals looking to break into the data science field. However, the night shift may deter those who prefer daytime work hours.
About this role
The Data Annotator role involves reviewing AI-generated responses and annotating data to support machine learning model development at Capital One.
About the Company
Capital One is a leading financial services company focused on technology and innovation in banking.
Key Highlights
- ✓ Work from home with a night shift schedule
- ✓ Involvement in AI and machine learning projects
- ✓ Opportunity for entry-level candidates
- ✓ Hands-on experience in data analysis and research
💡 Honest Take: The night shift requirement can be challenging for those who prefer a traditional schedule. While the work is remote, the volume of data to analyze can be overwhelming at times, especially for new annotators.
Pros
- ✓ Flexible work environment
- ✓ Great entry-level opportunity
- ✓ Engagement with cutting-edge technology
Cons
- ✗ Night shift requirement
- ✗ Potentially high workload
- ✗ Salary not disclosed
Best For: Recent graduates or entry-level professionals eager to gain experience in AI and data annotation.
Watch Out: The night shift schedule can be a significant adjustment for many, affecting work-life balance.
You'll be redirected to capitalonecareers.com
Expert Review
This Data Annotator position with Capital One offers work in the tech sector while gaining valuable experience in AI. Night shifts are a key aspect, which may not suit everyone’s lifestyle. The role primarily involves reviewing AI responses for clarity and relevance, making it crucial for candidates to have strong analytical skills.
While working remotely can be a perk, the volume of data that needs to be annotated is substantial, which can lead to burnout for some. In addition, since the salary is not disclosed, potential applicants should weigh this lack of information against the benefits of gaining experience in a prestigious company. Overall, this role is a solid entry point for those passionate about technology and data.
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