Remote Microbiologist (Contract) - AI Data & Research

YO AI Labs; Town of Texas (WI); Remote; USD 60,000 - 95,000; Part time

Job summary

YO AI Labs is seeking a Microbiologist for a remote, contract role. You will investigate microorganisms, support AI-driven biology projects, and document findings for AI training data.

The ideal candidate holds a Bachelor's degree or higher in biology or microbiology, has strong written and verbal communication, and can work independently in a fully remote environment while ensuring scientific accuracy and data integrity.

Qualifications

• Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field.
• Extensive knowledge of bacterial, fungal, and algal systems.
• Demonstrated expertise in investigating microbial structure and physiology.
• Strong written and verbal communication skills for technical collaboration.
• Ability to document processes for AI integration.
• Comfort working independently in a fully remote environment.
• Attention to detail and scientific accuracy.

Responsibilities

• Investigate development, morphology, and behavior of microscopic organisms.
• Contribute to study of microorganisms and disease in AI projects.
• Assess impact of antibiotics on microbial populations for AI model accuracy.
• Document findings clearly for AI training data.
• Collaborate with interdisciplinary teams to ensure data integrity.
• Provide expertise on microbiological phenomena for real-world and computational contexts.
• Utilize rubrics to assess data quality for AI training workflows.

Skills

Biology

Microbiology

Experimentation

Technical writing

Remote work

Education

Bachelor's degree or higher

Job description

YO AI Labs is seeking a Microbiologist for a remote, contract role. You will investigate microorganisms, support AI-driven biology projects, and document findings for AI training data.

The ideal candidate holds a Bachelor's degree or higher in biology or microbiology, has strong written and verbal communication, and can work independently in a fully remote environment while ensuring scientific accuracy and data integrity.