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AI Trainer(Civil Engineering & Architecture)

Flcd
🇺🇸 United States
Remote
23 months ago
  • AI
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • TensorFlow
  • PyTorch
  • AWS
  • GCP
  • BIM
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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.


AI Trainer(Civil Engineering & Architecture) · Flcd

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