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Temporary Medical Data Annotation Jobs in Atlanta, GA

Temporary Support Clerk

Atlanta, GA · On-site

$17.75 - $21.75/hr

Data entry and typing is done consistently on a personal computer. * Uses a variety of office ... Medical/Dental Insurance * Vision Insurance * Short Term/Long Term Disability * Life Insurance ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Truist offers medical, dental, vision, life insurance, disability, accidental death and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Truist offers medical, dental, vision, life insurance, disability, accidental death and ...

Senior Security Data Engineer

Atlanta, GA · On-site

$110K - $151K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Truist offers medical, dental, vision, life insurance, disability, accidental death and ...

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Temporary Medical Data Annotation information

What is the difference between Temporary Medical Data Annotation vs Medical Data Labeler?

AspectTemporary Medical Data AnnotationMedical Data Labeler
CredentialsBasic understanding of medical terminology, training in annotation toolsSimilar, often requires familiarity with medical terminology
Work EnvironmentRemote or on-site, healthcare or tech companiesRemote or on-site, healthcare or AI companies
Industry UsageUsed in AI training for medical imaging, EHR dataUsed in AI model development, data preparation
Search/Comparison IntentUnderstanding role differences, job requirementsClarifying job scope, responsibilities

Temporary Medical Data Annotation involves annotating medical data for AI training, often requiring specific medical terminology knowledge. Medical Data Labeler performs similar tasks, focusing on labeling data for machine learning. Both roles are essential in healthcare AI development, with overlapping skills and environments. The main difference lies in job titles used by employers and specific project scopes.

What is a temporary medical data annotation?

A temporary medical data annotation job involves labeling or tagging medical data, such as images, texts, or recordings, to help train machine learning models. These roles often require attention to detail, knowledge of medical terminology, and familiarity with annotation tools, and they are typically short-term or project-based positions.
What are the most commonly searched types of Medical Data Annotation jobs in Atlanta, GA? The most popular types of Medical Data Annotation jobs in Atlanta, GA are:
What job categories do people searching Temporary Medical Data Annotation jobs in Atlanta, GA look for? The top searched job categories for Temporary Medical Data Annotation jobs in Atlanta, GA are:
Infographic showing various Temporary Medical Data Annotation job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

South Fulton, GA • Remote

$70 - $90/hr

Part-time

Posted 11 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.