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

About the Position

Are you a pavement professional or roadway inspector with hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys? Advanced AI systems are being developed to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning. High-quality training data based on real PCI survey practices is essential to ensure these systems accurately recognize pavement distress and condition ratings. This project relies on your expertise to help train and evaluate next-generation AI models.

In this project, you will focus specifically on PCI-related workflows and annotation tasks. You will review roadway images, inspection records, and AI-generated outputs to determine whether pavement distress types, severity levels, and condition assessments are accurate and consistent with PCI methodology. A central part of the work involves annotating or validating pavement features and distress patterns so models can better learn to identify cracking, rutting, spalling, patching, weathering, and other common pavement conditions.

On a typical day, you may analyze roadway imagery or survey excerpts, validate AI-generated classifications of pavement distress, and provide written feedback explaining where models misidentify features or misinterpret severity levels. You may also help clarify how inspectors distinguish between similar distress categories, how sampling units are evaluated, and how real-world field conditions influence PCI scoring and reporting.

Responsibilities

• Review roadway images, inspection records, and AI-generated outputs
• Validate AI-generated classifications of pavement distress
• Provide written feedback on model accuracy and consistency with PCI methodology
• Annotate or validate pavement features and distress patterns

Requirements

• Familiarity with PCI surveys
• Attention to visual detail
• Ability to consistently apply pavement distress definitions and rating criteria
• Experience working with inspection imagery, condition reports, or roadway maintenance planning

We Offer

• Pay range of $6 - $20 per hour
• Training and project guidelines will be provided

About the Company

This project is well suited for pavement engineers, civil or transportation engineers, DOT specialists, highway inspectors, and other professionals who have conducted or reviewed PCI surveys or pavement condition assessments. Clear written communication and the ability to explain inspection reasoning and classification decisions in a structured way are essential.

Application

To apply for this job, please follow the instructions provided in the job posting. No prior AI or technical background is required. What matters most is your familiarity with PCI surveys, attention to visual detail, and ability to consistently apply pavement distress definitions and rating criteria.

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

Employment type: Freelance / Contract

Workplace type: Remote