Role & seniority: Data Verification Analyst (mid-level)

Stack/tools: AI data tagging/validation platform; word processing; spreadsheets; databases; document formats (emails, PDFs, images); data capture/transfer workflows; basic data privacy practices

Top 3 responsibilities

Data segregation, tagging, validation, and detailed document review across formats using the AI platform
Data capture, formatting, entry, verification, and ensuring accuracy against source documents
Document management, confidentiality, backups, data retrieval, and generation of reports per requests and targets

Must-have skills

1–3 years of relevant experience; strong data entry and accuracy; attention to detail
Proficiency with word processing, spreadsheets, and databases; ability to learn new AI tools quickly
Knowledge of data privacy/confidentiality; good organizational skills; effective communication

Nice-to-haves

Associate degree (or LLB) or equivalent 12+3 education; prior experience with legal/document-heavy workflows
Ability to work toward daily/monthly productivity and quality targets
Location & work type: Location not specified; work type not specified (information not provided)

Full Description

About Us

Foundation AI is the only Ai- Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country. Find out more at www.foundationai.com

Job Overview

At Foundation AI, As a Data Verification Analyst, you will play a crucial role in ensuring accurate and efficient data tagging, validation, and document review. Your attention to detail and proficiency in software tools will be essential for successfully processing and managing data using the AI application.

Key Responsibilities

● Data Segregation and Review

Process, segregate, review, and validate data provided in various formats according to changing process requirements.
Utilize the AI application to tag and validate data based on informally chosen or personally assigned keywords.
Perform document review with an eye for detail, identifying relevant information from emails and documents and extracting it.

● Data Capture and Formatting

Prepare, compile, and organize documents for data capture, ensuring accuracy and completeness.
Log and verify the receipt of data, maintaining an organized record of incoming information.
Transfer information from scanned files, including images, PDFs, and Microsoft files, into a standardized format.

● Data Entry and Verification

Conduct high-volume data entry using word processing, spreadsheet, database, or other software tools.
Compare data to source documents to ensure its integrity and accuracy.
Review data for errors, missing pages, or missing information, resolving any discrepancies encountered.

● Document Management and Confidentiality

Establish and maintain a filing system to efficiently manage data and documents.
Safeguard confidential customer information and adhere to data privacy protocols.
Perform regular backups to ensure data preservation and prevent loss.

● Data Retrieval and Reporting

Respond to requests for data retrieval from the database or electronic filing system.
Generate reports and summaries based on processed data as required.
Need to adhere and comply with the daily targets and monthly targets of productivity and quality.
Responsibilities may be tailored based on the candidate’s experience and proficiency.

Data Verification Analyst