AI Prompt Engineering & Data Labeling for Road Infrastructure BoQ

We are looking for an AI specialist to help train a Large Language Model (LLM) for automated quantity surveying in road construction. Your task will involve structuring and annotating technical field data, specifically focusing on cut and fill operations, compaction percentages, basecourse (type A and B) material usage, and asphalt concrete calculations. You will also design, iterate, and test specific system prompts to ensure the AI can accurately extract this raw data from field reports and calculate the correct material volumes for our Bill of Quantities (BoQ). Key Deliverables: Structure and annotate datasets containing road construction specifications, material volumes, and field measurements. Create 20+ structured prompts to test the AI's calculation accuracy for different material layers. Evaluate and refine the AI outputs to ensure they meet strict engineering and quantity surveying standards without hallucination.