Applicant Processing Specialist, Truework

<div class="content-intro"><p><span style="font-weight: 400;"><strong>About Checkr<br></strong></span>Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.<br><br>We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on <a href="https://www.forbes.com/lists/cloud100/" target="_blank">Forbes Cloud 100 2025 List</a> and is a Y Combinator 2024 <a href="https://www.ycombinator.com/blog/yc-top-companies-2024">Breakthrough Company</a>.</p></div><p><strong>About the Role</strong><br><br>Truework, recently acquired by Checkr, provides access to crucial employment, income information, and asset information needed for mortgage loans, apartment rentals, background checks, and more. We are disrupting a $5B+ industry, dominated by legacy incumbents and outdated processes, with a better product and intense customer focus. Within Checkr, Truework operates independently, allowing rapid iteration while also being able to leverage the strengths and assets from our core business. Think of it like joining a startup within a startup!</p> <p>As a QA Specialist, you will safeguard the integrity of Truework verifications by auditing HR Reports and Outreach workflows for accuracy, completeness, compliance, and professionalism. You’ll apply rulesets used in Report QA (identity/entity matching, data consistency/completeness, correctness), and assess adherence to Smart Outreach cadences across phone, email, and fax. Your work will help to directly improve verifier satisfaction, reduce rework, and support on-time delivery targets.</p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Audit completed verification reports against Report QA rulesets, validating identity and entity matching, field completeness, internal consistency, and reasonableness of data.</li> <li>Execute Outreach QA reviews on a randomized sample of manual-source verifications (email, fax, phone, third-party providers), ensuring required actions are logged, follow-ups meet cadence expectations, and communications meet tone and professionalism standards.</li> <li>Use the Internal Validator findings to confirm required fields are populated (e.g. employment status with corresponding dates), and flag illogical data (e.g. inactive target with missing end date).</li> <li>Document QA outcomes precisely (pass, soft fail, hard fail, warning), citing evidence and rule references to enable rapid fixes and learning