In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies.

Job Summary:

Join our customer's team as an expert Microbiologist, collaborating on advanced AI training initiatives. You will leverage your expertise in microbial sciences to investigate the growth, structure, and characteristics of microorganisms, helping shape the next generation of AI models focused on biology. This is a unique opportunity to apply your knowledge in a cutting-edge, cross-disciplinary environment.

Key Responsibilities:

- 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.

Required Skills and 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 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.