Biology AI Training Specialist (Remote Contract)

SaidGig; New York (NY); Remote; USD 28,000 - 55,000; Full time

Job summary

SaidGig is seeking a biology-focused remote contractor to help train and improve AI systems for life sciences applications. The role translates real-world scientific knowledge into accurate training data, evaluations, and feedback.

Prior AI experience is not required. You will review and annotate biological datasets, write and edit lab reports and field studies, and develop prompts and data inputs to support AI understanding of biology.

Qualifications

• Strong scientific writing skills and the ability to explain complex information clearly.
• Experience authoring laboratory reports, peer-reviewed research papers, or field studies.
• Remote collaboration experience on scientific, research, or educational projects is preferred.

Responsibilities

• Review, annotate, and provide expert feedback on biological datasets and educational content.
• Write, assess, and edit laboratory reports, research papers, and field-study narratives for scientific accuracy and clarity.
• Develop and refine prompts, queries, and data inputs that support AI understanding of biological concepts.
• Identify gaps, ambiguities, and inaccuracies in AI-generated content, then provide corrections and expert context.
• Collaborate remotely with project managers and technical teams through precise written and verbal communication.
• Create educational or reference materials used in AI training and validation.
• Stay current with biology and related life sciences standards and trends.

Education

BSc, MSc, or PhD in Biology, Life Sciences, or a closely related field

Job description

SaidGig is seeking a biology-focused remote contractor to help train and improve AI systems for life sciences applications. The role translates real-world scientific knowledge into accurate training data, evaluations, and feedback.

Prior AI experience is not required. You will review and annotate biological datasets, write and edit lab reports and field studies, and develop prompts and data inputs to support AI understanding of biology.