[Hiring] Infrastructure Analyst (Roadway Data Specialist) @Pearl

Role Description

The Infrastructure Analyst is responsible for analyzing roadway video and imagery to identify, classify, and document infrastructure conditions — including pavement distresses (cracks, potholes, rutting, raveling), road assets (signage, markings, barriers), and surface conditions. This role ensures accurate, consistent data delivery at scale.

This is an ideal role for civil engineering graduates who want to apply their technical knowledge of pavements, road construction, and infrastructure assessment in a technology-forward environment. You will define standards, resolve ambiguous edge cases, and act as the final quality authority for datasets.

The role works cross-functionally with Machine Learning and Customer Success teams while leading operational annotation teams. The ideal candidate is decisive, detail-oriented, and thrives in environments where speed, accuracy, and technical judgment must be carefully balanced.

Your Impact

• Deliver high-quality, customer-ready roadway condition datasets that directly support machine learning performance and infrastructure decision-making
• Apply civil engineering knowledge to accurately identify and classify pavement distresses and road defects
• Reduce ambiguity and improve data consistency across large-scale infrastructure assessments
• Help scale data operations while maintaining strict quality standards
• Enable faster iteration on ML models and stronger customer satisfaction through accurate ground-truth data

Core Responsibilities

• Roadway Analysis & Data Creation – 40%
  • Analyze roadway video and imagery to identify pavement distresses: cracking (alligator, longitudinal, transverse, block), potholes, rutting, raveling, patching, and other surface defects
  • Classify infrastructure assets including signage, road markings, guardrails, drainage features, and barriers
  • Apply pavement condition assessment methodologies to ensure consistent, accurate classification
  • Own the full data creation lifecycle from video preprocessing through tagging, QA, and final delivery
• Quality & Standards – 25%
  • Define, document, and continuously refine classification standards for roadway conditions and assets
  • Build and maintain QA frameworks that ensure repeatable, high-quality output
  • Act as the final decision-maker on ambiguous classifications and edge cases
  • Identify recurring quality issues and implement corrective processes
• Team Leadership – 20%
  • Lead and manage annotation and review teams to meet quality and delivery targets
  • Train team members on pavement distress identification and classification standards
  • Set performance benchmarks and provide clear feedback to maintain consistency
  • Scale output while preserving quality standards
• Cross-Functional Collaboration – 10%
  • Partner closely with Machine Learning teams to align datasets with real-world infrastructure requirements
  • Work with Customer Success teams to ensure timely and accurate dataset delivery
  • Translate customer needs (transportation agencies, municipalities) into clear internal execution standards
• Process Improvement – 5%
  • Identify opportunities to automate or streamline tagging, QA, and review workflows
  • Build systems and processes that support growing dataset volume and complexity

Qualifications

• Civil Engineering degree or related field (Transportation Engineering, Construction Management, or similar)
• Knowledge of pavement types, road construction methods, and infrastructure assessment principles
• Understanding of pavement distress types and classification (cracks, potholes, surface deterioration)
• Strong attention to detail and ability to make consistent, judgment-based classifications
• Excellent written and verbal English communication skills
• Ability to work independently and take ownership of data quality outcomes

Requirements

• Experience with pavement condition assessment, road inspections, or infrastructure surveys
• Coursework or practical experience in pavement engineering, highway design, or transportation infrastructure
• Experience with GIS, geospatial data, or mapping tools
• Familiarity with pavement management systems (PMS) or asset management methodologies
• Previous experience in data annotation, quality assurance, or technical review processes

Benefits

• Competitive Salary: Based on experience and skills
• Remote Work: Fully remote—work from anywhere
• Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency
• Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting
• Generous PTO: In accordance with company policy
• Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees
• Direct Mentorship: Guidance from international industry experts
• Learning & Development: Ongoing access to resources for professional growth
• Global Networking: Connect with professionals worldwide

Our Recruitment Process

• Application
• Screening
• Skills Assessment
• Top-grading Interview
• Client Interview
• Job Offer
• Client Onboarding

Ready to Join Us?

If this role aligns with your skills and goals, apply now to take the next step in your journey with Pearl.