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Freelance Machine Learning Biology Jobs in Michigan

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Freelance Machine Learning Biology information

What is the difference between Freelance Machine Learning Biology vs Freelance Data Scientist?

AspectFreelance Machine Learning BiologyFreelance Data Scientist
Required CredentialsBackground in biology, machine learning, and data analysisBackground in statistics, programming, and data analysis
Work EnvironmentResearch labs, biotech firms, or remote projects focused on biological dataVarious industries including finance, healthcare, and tech, often remote
Employer & Industry UsageBiotech companies, research institutions, healthcare startups

Freelance Machine Learning Biology specializes in applying machine learning techniques to biological data, often within biotech and healthcare sectors. Freelance Data Scientists have a broader scope across industries, focusing on data analysis and modeling in various fields. While both roles require strong analytical skills, Freelance Machine Learning Biology emphasizes biological knowledge combined with machine learning expertise.

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For Freelance Machine Learning Biology jobs in Michigan, the most frequently searched job titles are:

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Freelance Machine Learning Biology jobs near you
Infographic showing various Freelance Machine Learning Biology job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

Sterling Heights, MI • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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