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Digital Annotation Expert Jobs in Haddock, GA (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Macon, GA · Remote

$70 - $90/hr

Comfort working independently in a fully remote, digital-first environment. * Attention to detail ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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$14

$43

$80

How much do digital annotation expert jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for digital annotation expert in Haddock, GA is $43.30, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $56.15 per hour, depending on experience, location, and employer.

What cities near Haddock, GA are hiring for Digital Annotation Expert jobs?

Cities near Haddock, GA with the most Digital Annotation Expert job openings:

Digital Annotation Expert jobs near you
Infographic showing various Digital Annotation Expert job openings in Haddock, GA as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $90,062 per year, or $43.3 per hour.

AI Trainer - Microbiology Expert

Macon, GA • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$70 - $90/hr

Part-time

Re-posted 13 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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