Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project
Related skills
machine learning pci annotation pavement distress_types📋 Description
- Focus on PCI workflows and annotation tasks for training data.
- Review roadway images, inspection records, and AI outputs to verify PCI accuracy.
- Annotate distress patterns to train models on cracking, rutting, spalling, and weathering.
- Analyze imagery and AI classifications; provide feedback on misidentifications and severity levels.
- Explain how inspectors distinguish distress categories and how sampling units affect PCI scoring.
- Open to pavement engineers, civil/transportation engineers, DOT specialists, highway inspectors.
🎯 Requirements
- Experience with PCI surveys or pavement condition assessments.
- Familiarity with PCI methodology and pavement distress definitions.
- Ability to review inspection imagery, condition reports, and roadway maintenance planning.
- Clear written communication; able to explain inspection reasoning in a structured way.
- Experience with image annotation or data labeling is valuable.
- No AI or advanced technical background required; training and guidelines provided.
🎁 Benefits
- Remote, contract-based engagement.
- Training and project guidelines provided.
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