Contribute to advancing AI tools in life sciences research. Work remotely in a flexible and structured environment. Collaborate on innovative projects with leading scientific experts.
Life Sciences Ai Trainer
in Accounting + Finance PermanentJob Detail
Job Description
Life Sciences AI Trainer Overview
- The Life Sciences AI Trainer will contribute to a 12-week AI training sprint, applying domain expertise to improve AI-generated responses in life sciences.
- Collaborate remotely in a structured environment to enhance AI tools for scientific research.
- Design and build realistic tasks that simulate complex life sciences scenarios for AI evaluation.
- Support the development of trustworthy AI systems by providing expert feedback and annotations.
- Engage in a flexible, remote work arrangement with opportunities for ongoing contributions.
- Contribute to the accuracy and reliability of AI tools in drug discovery and computational biology.
- Participate in a collaborative and innovative project that values scientific expertise.
Life Sciences AI Trainer Key Responsibilities & Duties
- Evaluate AI-generated responses for scientific accuracy and clarity in life sciences contexts.
- Annotate and rank outputs to guide AI training and improvement efforts.
- Develop and refine tasks based on professional expertise to test AI capabilities.
- Provide corrective guidance on errors or misconceptions in AI outputs.
- Collaborate with expert reviewers to iterate and improve task designs.
- Adhere to detailed instructions and maintain consistent quality throughout the project.
- Utilize cloud tools and software to manage project-related files and tasks.
- Engage in feedback and revision cycles to ensure high-quality deliverables.
Life Sciences AI Trainer Job Requirements
- Master’s or PhD in Biology or a related field with 3+ years of experience in drug discovery, computational biology, or experimental biology.
- Strong written communication skills to explain complex concepts clearly and concisely.
- Experience as a hands-on practitioner in life sciences research.
- Proficiency in using cloud tools and managing digital files effectively.
- Ability to work independently in a remote, self-directed environment.
- Availability to commit 30–40+ hours per week for the full 12-week engagement.
- Understanding of LLM use and the AI landscape in scientific research.
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