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