New

Data Labeling Associate

The Philippines (Remote)

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

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