Data Entry Clerk

Description We are looking for a detail-focused Data Entry Clerk to support a contract assignment in California. In this on-site role, you will review and organize business insurance information, apply standardized labels across records, and help maintain a reliable dataset for operational decision-making. This contract position is expected to last 2 months, with the possibility of extension based on project needs.

Responsibilities:

• Review insurance-related business records and enter structured information into spreadsheets with a high level of accuracy.
• Compare details across internal platforms, quoting tools, and stored documents to verify record completeness and consistency.
• Classify records using established labeling standards for items such as business type, coverage details, quote progress, pricing, and final outcomes.
• Document unclear or incomplete cases with concise notes and escalate them for review rather than making unsupported assumptions.
• Maintain steady daily output while preserving data quality across a high volume of files.
• Apply updates to project guidelines as classification rules evolve and ensure new instructions are reflected in your work.
• Capture supporting details tied to underwriting activity, document collection, service complexity, and revenue-related fields.
• Contribute to a clean and dependable dataset that can be used by internal teams to evaluate performance and make informed decisions. Requirements
• Demonstrated accuracy and strong attention to detail in data entry or record review work.
• Proficiency with Excel and Google Sheets in a work setting.
• Ability to follow detailed instructions and apply a defined taxonomy consistently.
• Strong written English skills for clear notes, comments, and issue flagging.
• Dependable, organized, and able to manage repetitive tasks with focus and consistency.
• Confidence asking questions when records are ambiguous or information is missing.
• Typing and computer data entry skills that support efficient, high-volume processing.
• Prior exposure to insurance, finance, operations, or data annotation work is a plus.

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