Pavement Condition Index (PCI) Survey & Annotation Specialist

Responsibilities

• Review roadway images, inspection records, and AI-generated outputs to ensure accuracy in pavement distress types and severity levels
• Annotate or validate pavement features and distress patterns such as cracking, rutting, spalling, and patching
• Analyze roadway imagery or survey excerpts to validate AI-generated classifications
• Provide written feedback explaining model misidentifications or misinterpretations of severity levels
• Clarify how inspectors distinguish between distress categories and evaluate sampling units

Requirements

• Hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys
• Professional background in pavement engineering, civil/transportation engineering, DOT specialization, or highway inspection
• Experience working with inspection imagery, condition reports, or roadway maintenance planning
• Strong written communication skills for explaining inspection reasoning
• Ability to consistently apply pavement distress definitions and rating criteria

About the Company

This project focuses on developing advanced AI systems to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning.