AI Training Specialist - Drug Discovery Expert

Role overview Bring drug discovery and pharmaceutical research knowledge to AI training projects. You will create and assess labeled data, review model-generated content, and help improve the accuracy and relevance of AI outputs for drug discovery applications.

Responsibilities - Annotate and label drug discovery data for model training. - Check AI-generated content for accuracy and alignment with relevant standards. - Use domain expertise to improve model performance in drug discovery tasks. - Collaborate on training work across pharmaceutical fields. - Support data quality for machine learning applications.

Requirements - Bachelor's degree in a relevant field, such as pharmacy, biology, or computer science. - Experience in drug discovery and familiarity with pharmaceutical research. - Experience with AI model training and data labeling tools. - Careful attention to detail and consistent annotation quality. - Strong analytical skills and ability to work independently.

Nice to have - Master's degree or higher in a relevant discipline. - Familiarity with machine learning frameworks and AI technologies. - Knowledge of regulatory requirements for drug discovery and development. - Experience in a fast-paced, technology-focused environment.

Benefits and work setup The source describes competitive hourly compensation, professional development, and a collaborative work environment.