> Markdown version of [/jobs/ext/2946257-microbiologist-remote](https://www.wearedevelopers.com/jobs/ext/2946257-microbiologist-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microbiologist - Remote - **Company:** YO AI Labs View all jobs - **Location:** New York, NY, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Integrity, Machine Learning - **Published:** September 16, 2026 - **Apply:** https://www.careerjet.com/jobad/usb9b9991b09507ea6544277f4b51360df ## About the Role * 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 and interdisciplinary collaboration. * Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment to scientific accuracy. Preferred Qualifications: * Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced degree (Master's or PhD) in a relevant field. ## Description * Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae. * Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development. * Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts. * Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.