Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project

The role

You will review roadway images, inspection records, and AI-generated outputs to validate pavement distress types and condition assessments. You will annotate pavement features and provide written feedback to help train AI models using PCI methodology.

What you will do

• Review roadway images, inspection records, and AI-generated outputs
• Determine if pavement distress types, severity levels, and condition assessments are accurate
• Annotate or validate pavement features and distress patterns
• Analyze roadway imagery or survey excerpts
• Validate AI-generated classifications of pavement distress
• Provide written feedback explaining model misidentifications or misinterpretations
• Clarify how inspectors distinguish between distress categories
• Clarify how sampling units are evaluated and how field conditions influence PCI scoring

Required qualifications

• Hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys
• Familiarity with PCI surveys
• Attention to visual detail
• Ability to consistently apply pavement distress definitions and rating criteria
• Clear written communication
• Ability to explain inspection reasoning and classification decisions in a structured way
• Supply a secure computer
• Supply high-speed internet

Nice to have

• Experience working with inspection imagery, condition reports, or roadway maintenance planning

About the company

agency