AI Trainer(Civil Engineering & Architecture)

FLCD is seeking a talented and passionate AI Trainer with a strong background in civil engineering and practical experience in architectural drawing interpretation to join our growing AI development team. In this role, you will play a crucial part in developing and refining cutting-edge AI models that can accurately extract information from architectural drawings. Responsibilities: Data Preparation and Annotation: Prepare and annotate large datasets of architectural drawings, including floor plans, elevations, sections, and details, to train and validate AI models. Model Training and Evaluation: Train and evaluate AI models for tasks such as object detection, semantic segmentation, and text extraction from architectural drawings. Algorithm Development: Collaborate with AI engineers to develop and improve algorithms for automated information extraction from architectural drawings. Performance Optimization: Analyze model performance, identify areas for improvement, and implement strategies to enhance accuracy and efficiency. Domain Expertise: Provide expert knowledge of civil engineering and architectural drawing conventions to guide AI model development. Quality Control: Establish and maintain quality control procedures for data annotation and model training. Stay Updated: Keep abreast of the latest advancements in AI and machine learning, particularly in computer vision and natural language processing. Qualifications: Education: Bachelor's or Master's degree in Civil Engineering or a related field. Experience: Proven experience in interpreting and working with architectural drawings. Analytical Skills: Strong analytical and problem-solving abilities. Communication Skills: Excellent written and verbal communication skills. Bonus Points: Experience with AI model training frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud computing platforms (e.g., AWS, Google Cloud). Familiarity with building information modeling (BIM) software.