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Infrastructure Analyst – Roadway Data Specialist
Location
Colombia
Posted
153 days ago
Salary
0
Seniority
Senior
Job Description
Infrastructure Analyst – Roadway Data Specialist
Catena
• 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 • 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 • 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 • 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 • Identify opportunities to automate or streamline tagging, QA, and review workflows • Build systems and processes that support growing dataset volume and complexity
Job Requirements
- 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
- 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
- Experience leading or managing operational teams (annotators, reviewers, or QA)
- Experience collaborating with technical stakeholders or engineering teams
- Knowledge of machine learning data labeling concepts
- Project management experience
- Google Workspace (Docs, Sheets, Drive)
- Spreadsheet tools (Google Sheets or Excel)
- Comfortable learning new software platforms
- GIS tools (ArcGIS, QGIS, Google Earth)
- Annotation or labeling platforms
- Project management tools (Asana, Monday, Jira)
- Data QA or review tools
Benefits
- Competitive Salary: Based on experience and skills
- Remote Work: Fully remote—work from anywhere
- 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
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