Road Engineer

A. About RoadVision AI

RoadVision AI is a global AI startup at the cutting edge of infrastructure, transportation, and mobility innovation. Incorporated in 2024, we are working with clients and partners across 10+ countries and are among the fastest-growing AI companies in this sector worldwide.

Our founding team previously built and successfully exited Indika AI, a data-centric AI services company with global clients — bringing with them proven expertise in building, scaling, and delivering world-class AI solutions.

At RoadVision AI, we are building the world’s most advanced AI-powered Road Asset Management System — redefining how governments and enterprises monitor, manage, and optimize roads and transportation systems. Our platform ingests data from satellites, drones, dashcams, and maps, and applies state-of-the-art AI models to generate actionable insights for:

• Road construction monitoring & quality assurance
• Maintenance planning & asset lifecycle management
• Accident analysis & road safety improvement
• Traffic optimization & congestion management
• Infrastructure planning via a GIS-enabled Digital Twin

With rapid adoption and a strong international footprint, RoadVision AI is shaping the future of smart mobility and infrastructure management globally.

Role Overview

We are seeking a Road Engineer with a background in Road & Transportation Engineering to join our AI annotation and validation team. The candidate will play a crucial role in reviewing road survey data, validating AI model outputs, and ensuring that annotations align with real-world road engineering principles. This is a unique opportunity to apply core engineering knowledge in an AI-driven infrastructure technology environment.

Key Responsibilities

• Review and analyze road survey data (dashcam and other sensor-based data).
• Perform annotation and classification of road defects, assets, and safety features for AI model training.
• Validate and refine AI model outputs, ensuring engineering accuracy and practical relevance.
• Support the development of annotation guidelines based on road engineering standards.
• Contribute to building taxonomies of road assets, defects, and maintenance strategies.
• Provide technical expertise on road safety measures and maintenance planning.
• Collaborate with the AI/ML and product teams to improve model training quality and field applicability.
• Stay updated with best practices in pavement management, asset inventorying, and road safety audits.

Qualifications & Skills

• Bachelor’s degree in Road & Transportation Engineering, Civil Engineering (specialization in highways/transportation), or equivalent.
• Strong understanding of:
• Road defects (potholes, cracks, rutting, etc.)
• Road assets/inventory (signage, guardrails, pavement markings, etc.)
• Maintenance strategies and surveys
• Road safety measures and audit practices
• Familiarity with pavement management systems and asset lifecycle approaches.
• Good analytical skills and attention to detail in data validation.
• Interest in working with AI-driven applications in transportation.
• Prior exposure to road surveys, asset management projects, or research in transportation engineering is a plus.

Job Type: Full-time

Pay: ₹120,000.00 - ₹150,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off

Work Location: Remote