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US Payroll Specialist

Scale AI· CFO Team
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Mexico CityFull-timePosted 4w ago

About the role

Experienced US Payroll Specialist responsible for end-to-end multi-state US payroll processing, compliance, and system optimization in a Scale context.

Responsibilities

  • Full-Cycle Payroll Processing: Oversee the accurate and timely processing of multi-state bi-weekly and semi-monthly payrolls for over a thousand exempt and non-exempt employees across most of the USA.
  • Compliance & Taxation: Ensure strict adherence to federal, state, and local tax laws, as well as FLSA regulations; monitor regulatory changes and update internal systems accordingly.
  • Year-End Processing: Manage year-end payroll activities, including W-2 and W-2c generation, fringe benefit reporting, and annual tax reconciliations.
  • Cross-Functional Collaboration: Partner closely with HR for onboarding, offboarding, benefits deductions, and compensation changes; coordinate with Accounting for GL mapping, month-end close, and payroll reconciliations.
  • System Administration & Optimization: Act as primary SME for payroll system (e.g., Workday, ADP); identify bottlenecks, drive process improvements, and lead upgrades or implementations.
  • Issue Resolution, Continuous Improvement & Auditing: Regular payroll data audits; drive continuous improvement using AI and other methodologies to keep payroll processes best in class.

Qualifications

  • 5+ years of payroll experience.
  • Strong organizational skills and ability to complete priority tasks daily.
  • Confidentiality and integrity.
  • Accuracy under pressure with extreme attention to detail.
  • Experience with ADP WorkforceNow and Workday.
  • Bachelor’s degree.
  • Technical proficiency.

Skills

Required:Payroll processingTax complianceADP WorkforceNowWorkday
Nice to have:GAAP/GL mapping & closeAudit & process improvement
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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