Infrastructure Analyst – Roadway Data Specialist

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Conduct analysis of roadway videos and imagery to detect pavement distresses such as cracking (including alligator, longitudinal, transverse, and block), potholes, rutting, raveling, patching, and other surface defects.

• Categorize infrastructure assets including signage, road markings, guardrails, drainage features, and barriers.

• Utilize pavement condition assessment methodologies to ensure uniform and precise classification.

• Manage the entire data creation process from video preprocessing through tagging, quality assurance, and final delivery.

• Establish, document, and continuously improve classification standards for roadway conditions and assets.

• Develop and uphold quality assurance frameworks that guarantee consistent, high-quality outcomes.

• Serve as the final authority on ambiguous classifications and edge cases.

• Recognize recurring quality issues and implement corrective measures.

• Lead and oversee annotation and review teams to achieve quality and delivery objectives.

• Educate team members on pavement distress identification and classification standards.

• Set performance benchmarks and provide clear feedback to ensure consistency.

• Collaborate closely with Machine Learning teams to align datasets with real-world infrastructure needs.

• Work alongside Customer Success teams to ensure prompt and accurate dataset delivery.

• Convert customer requirements (from transportation agencies and municipalities) into clear internal execution standards.

• Identify opportunities for automating or streamlining tagging, quality assurance, and review workflows.

• Establish systems and processes that accommodate growing dataset volume and complexity.

⛳️ Requirements

• A degree in Civil Engineering or a related field (such as Transportation Engineering, Construction Management, or similar).

• Familiarity with various pavement types, road construction techniques, and infrastructure assessment principles.

• Understanding of pavement distress types and classification (including cracks, potholes, and surface deterioration).

• Strong attention to detail and the capability to make consistent, judgment-based classifications.

• Exceptional written and verbal communication skills in English.

• Ability to work autonomously and take responsibility for data quality outcomes.

• Experience in pavement condition assessment, road inspections, or infrastructure surveys.

• Coursework or hands-on experience in pavement engineering, highway design, or transportation infrastructure.

• Proficiency with GIS, geospatial data, or mapping tools.

• Knowledge of pavement management systems (PMS) or asset management methodologies.

• Previous experience in data annotation, quality assurance, or technical review processes.

• Experience in leading or managing operational teams (including annotators, reviewers, or QA).

• Experience engaging with technical stakeholders or engineering teams.

• Understanding of machine learning data labeling concepts.

• Project management experience.

• Proficiency in Google Workspace (Docs, Sheets, Drive).

• Experience with spreadsheet tools (Google Sheets or Excel).

• Comfort with learning new software platforms.

• Familiarity with GIS tools (ArcGIS, QGIS, Google Earth).

• Experience with annotation or labeling platforms.

• Familiarity with project management tools (Asana, Monday, Jira).

• Experience with data quality assurance or review tools.

🏝️ Benefits

• Competitive Salary: Determined by experience and skills.

• Remote Work: Fully remote—work from any location.

• Team Incentives: Acknowledgment for maintaining 100% CRM hygiene and timely reporting.

• Generous PTO: In line 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: Continuous access to resources for professional advancement.

• Global Networking: Opportunities to connect with professionals worldwide.