Regulatory Data Engineer: AI-Driven Infrastructure

Blumen Systems

San Francisco (CA)

On-site

USD 90,000 - 150,000

Full time

7 days ago
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Job summary

Blumen Systems in San Francisco seeks a meticulous Regulatory Research Associate to translate complex regulations into structured data for our AI-powered platform. You will gather federal, state, and local sources, verify citations, and ensure accuracy across large volumes of material.

This role requires attention to detail, comfort with repetitive tasks, and the ability to improve data workflows with product and engineering colleagues as the company scales in the infrastructure sector.

Qualifications

  • Research federal, state, and local regulations, ordinances, agency guidance, permit records, and other primary sources.
  • Turn requirements into structured triggers, citations, timelines, and decision logic.
  • Perform high-volume data entry, source verification, and quality control with exceptional consistency.
  • Review AI-generated work, find subtle errors or missing context, and create tests that prevent them from recurring.
  • Work with product and engineering to make regulatory research more accurate, scalable, and automated.

Responsibilities

  • Research federal, state, and local regulations, ordinances, agency guidance, permit records, and other primary sources.
  • Turn requirements into structured triggers, citations, timelines, and decision logic.
  • Perform high-volume data entry, source verification, and quality control with exceptional consistency.
  • Review AI-generated work, find subtle errors or missing context, and create tests that prevent them from recurring.
  • Work with product and engineering to make regulatory research more accurate, scalable, and automated.

Job description

Blumen Systems in San Francisco seeks a meticulous Regulatory Research Associate to translate complex regulations into structured data for our AI-powered platform. You will gather federal, state, and local sources, verify citations, and ensure accuracy across large volumes of material.

This role requires attention to detail, comfort with repetitive tasks, and the ability to improve data workflows with product and engineering colleagues as the company scales in the infrastructure sector.

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