Job description
About the Role
We’re looking for a detail-oriented Data Labeling Associate to support our recruiting operations by researching, verifying, and enriching candidate profiles. You’ll receive basic candidate details such as a name and LinkedIn link, and your job is to confirm the information and add missing data such as location, email, or company details.
This is a highly detail-focused role, ideal for someone who enjoys online research, structured work, and has a knack for spotting inconsistencies.
Key Responsibilities
Review candidate profiles using LinkedIn and other online sources.
Verify that the provided LinkedIn profile matches the correct individual.
Correct inaccurate data (e.g., mismatched names, incorrect profiles).
Add missing information such as:
- Current location (city, state, country)
- Email address (when publicly available)
- Company name and title
- Additional social or professional links, if applicable
Tag or label data accurately based on provided instructions.
Meet daily productivity and accuracy goals.
Flag ambiguous or hard-to-resolve cases for further review.
Requirements
- Strong attention to detail and high standards for accuracy.
- Ability to follow structured instructions and research guidelines.
- Comfortable conducting web-based research using LinkedIn, Google, and other tools.
- Good written English communication skills.
- Prior experience with data entry, lead generation, sourcing, or similar roles is a plus.
- Familiarity with spreadsheets (e.g., Excel or Google Sheets).
Nice-to-Have
- Experience in recruiting, sourcing, or research operations.
- Familiarity with tools like Hunter.io, ContactOut, Apollo, or People Data Labs.
- Comfortable working in a fast-paced, metrics-driven environment.
What We Offer
- Competitive compensation
- Fully remote and flexible work schedule
