DigitalOwl is at the forefront of revolutionizing the insurance industry with its advanced machine learning platform, designed specifically to analyze and summarize medical records for underwriters and claims adjusters. This unique technology stands out as the first of its kind, significantly reducing time, costs, and the risk of human error to an absolute minimum.
As we continue to expand and evolve, we are eager to welcome new, motivated talents who are ready to contribute to our success. Our work culture is built on maintaining a fun, challenging, and friendly environment, emphasizing both personal and professional growth.
We are looking for an AI Model Trainer specializing in Generative AI (GenAI). In this role, you will be instrumental in training and refining AI models that process medical data crucial for insurance-related decision-making, including underwriting and claims processing. Your expertise in medical documentation, insurance workflows, and claim adjustment will be vital to ensure the accuracy and reliability of our models.
Job 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.
Experience:
- Proven experience in the insurance industry, specifically in underwriting, claims assessment, or medical risk evaluation.
Knowledge and Skills:
- Native level English
- Fast learning and very good computer skills.
Soft Skills:
- 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.
- High attention to detail and ability to evaluate AI-generated text for accuracy and relevance.
Bonus Qualifications:
- Background in medicine, life sciences, healthcare, or a related field (e.g., medical coding, nursing, biomedical sciences, paramedical professions).
- Background in BI Legal work–A big plus.
- 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.