Pavement Engineer​/Pavement Data Rater; Roads O&M

Pavement Data Collection/ Processing Engineer

Position Summary:

We are seeking a Pavement Engineer / Pavement Data Rater to perform quality assurance and quality control (QA/QC) of processed pavement condition data prior to client submission or upload into a Pavement Management System (PMS). The role focuses on updating and verifying the accuracy, consistency, and completeness of processed pavement datasets, ensuring that condition ratings, distress quantities, and severity classifications comply with project specifications, applicable standards, and client requirements.

The successful candidate will work closely with data processing teams, pavement engineers, and project managers to ensure that only validated, reliable, and audit‑ready data is delivered to clients.

• Perform detailed QA/QC checks on processed pavement condition data prior to client submission or PMS upload.
• Verify accuracy and consistency of pavement distress data, including cracking, rutting, ravelling, bleeding, texture, roughness, and other surface defects.
• Review distress quantities, severity levels, and ratings to ensure alignment with approved methodologies and standards.
• Cross‑check processed outputs against raw data samples, images, and reference datasets as required.
• Identify anomalies, inconsistencies, or potential errors and coordinate corrective actions with the data processing team.
• Perform quality control and quality assurance (QC/QA) on processed data to ensure accuracy and consistency.
• Classify and interpret pavement conditions based on established standards (e.g., ASTM, LTPP manual).

• Perform pavement distress rating and condition assessment using approved rating systems (e.g., visual rating scales, index‑based systems, or PCI‑type approaches).
• Ensure correct application of distress definitions, severity thresholds, and rating rules.
• Validate calculated indices and condition scores prior to finalization.
• Support calibration and consistency checks across sections, routes, or survey areas.
• Collaborate with senior pavement engineers and asset managers to ensure the data is appropriately structured for analysis.
• Apply severity classifications and thresholds in line with project requirements and industry standards to modify the default data received from machine processing.
• Manage and organize large datasets using spreadsheets, databases, and specialized pavement software.
• Maintain clear documentation of data processing workflows, assumptions, and revisions.
• Generate comprehensive reports and visualizations to communicate findings and recommendations to management and relevant stakeholders.
• Identify opportunities for process optimization and propose improvements to enhance data collection, processing, and analysis efficiency.
• Generate comprehensive pavement condition data reports and data deliverables in required formats.
• Work with senior engineers to analyse data trends and contribute to pavement evaluation.
• Assist in the development and maintenance of Pavement Management Systems (PMS) by providing reliable condition data.
• Provide technical support and insights for proposals and client meetings related to data collection services.

• Prepare QA/QC comments, logs, and checklists documenting findings and corrective actions.
• Provide clear feedback to processing teams to support continuous improvement.
• Support preparation of technical summaries and data validation notes for client reporting.
• Assist in responding to client or internal audits related to pavement data quality.

Required:

• Bachelor’s degree in Civil Engineering, Transportation Engineering, Pavement Engineering, or a related discipline.
• A postgraduate qualification in Pavement Engineering or Asset Management is an advantage. Proficiency with LCMS‑2 data processing and QA/QC software (e.g., ROMDAS, Data View).
• Solid understanding of pavement distress types (ASTM D6433) and automated data acquisition systems.

Preferred:

• Previous experience in GCC, Western regions with LCMS‑2.
• Experience with other pavement data collection systems (e.g., ROMDAS, ARAN, Hawkeye)
• Exper…