AI Model Trainer

2 weeks ago

Tel Aviv, Tel Aviv, Israel DigitalOwl Full time ₪104,000 - ₪130,878 per year

About Us:

DigitalOwl offers a revolutionary solution for analyzing and summarizing medical records for insurance underwriters and claim adjusters.

Our technology is the first and only machine learning platform that interprets medical records, and drastically reduces time, money, and risk of human error to a minimum.

We are always growing and looking for new and motivated talents to join our journey and lead us to even greater success At the base of our values lies maintaining our work environment fun, challenging, and friendly, with a strong focus on personal and professional growth.

Job Overview:

As an AI Model Trainer specializing in Generative AI (GenAI), you will be responsible for training and refining AI models that process medical data to support insurance-related decision-making, including underwriting and claims processing.

Key Responsibilities:

  • Training and aligning the model to domain specific tasks to improve AI model performance.
  • Train and fine-tune GenAI models to enhance understanding of medical terminology, diagnoses, treatments, and insurance-related documentation.

· Give insights, suggestions and inputs with the assistance of process automation through AI agents.

  • Identify inconsistencies in model outputs and provide corrective feedback.
  • Collaborate with data scientists and engineers to optimize training methodologies and dataset quality.
  • Conduct quality assurance checks on AI-generated outputs for underwriting and claims assessment.
  • Complete tasks in a timely manner, while meeting stressed SLA deadlines.

Requirements:

Mandatory:

  • Native level English
  • Fast learning skills and very good computer skills.

Advantage:

  • Background in medicine, life sciences, healthcare, or a related field (e.g., medical coding, nursing, biomedical sciences, paramedical professions).
  • Background in the insurance industry, specifically in underwriting, claims assessment, or medical risk evaluation.
  • Background in Data Analysis.
  • Strong understanding of medical documentation and terminology, as relevant to insurance processes.
  • Experience in data annotation, NLP model training, or AI-based insurance/medical applications.
  • High attention to detail and ability to evaluate AI-generated text for accuracy and relevance.
  • Have a can-do attitude - a constant drive to face challenges and improve our technology and processes.
  • Have a startup mindset - a will to work in a fast-paced and frequently changing environment, while putting effort and collaborating with the group to drive the company towards success.
  • Independent, but also a great team player.

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