6 annunci per il ruolo di quality system specialist - roma, laz (recruiting in corso)

Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project
Meridial —Roma, Lazio
- 6 € - 20 € all'ora
- Remoto
IT Support Engineer - End-User & Workstation Services | Space Sector
Etinars —Frascati, Lazio
- Remoto
- Inglese
- Windows
Candidatura rapida
Desktop Support Engineer | Space Sector
Etinars —Frascati, Lazio
- Remoto
- Inglese
- Windows
Candidatura rapida
Animal Health Officer
FAO —Roma, Lazio
- Spagnolo
- Inglese
- Laurea magistrale
10 giorni
Special Advisor - Climate Action and Energy Transition (Open to Tier 0 & 1 applicants)
United Nations Development Programme (UNDP) —Roma, Lazio
- Tempo pieno
- Gestionale
- Inglese
- Laurea magistrale
4 giorni
Italian Customer Support for Dyson | Relocate to Greece
Next Job Abroad —Roma, Lazio
- Tempo pieno
- Servizio clienti
- Inglese
- Esperienza di hotel
Candidatura rapida

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

Meridial
Roma, Lazio

Candidati adesso

Dettagli della posizione

Contratto con partita IVA
6 € - 20 € all'ora

Descrizione completa della posizione

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.

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. Experience working with inspection imagery, condition reports, or roadway maintenance planning is highly valuable. Clear written communication and the ability to explain inspection reasoning and classification decisions in a structured way are essential.

No prior AI or technical background is required. Training and project guidelines will be provided. What matters most is your familiarity with PCI surveys, attention to visual detail, and ability to consistently apply pavement distress definitions and rating criteria.

We offer a pay range of $6 - $20 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project
Employment type: Freelance / Contract
Workplace type: Remote

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

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Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di quality system specialist nella seguente località: roma, laz

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