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Remote Online Data Annotation Jobs in Kentucky (NOW HIRING)

Braintrust

Catalan Language Expert - Spain

Alexandria, KY · Remote

$15 - $35/hr

Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contract workflow across time zones. * Prior experience with AI data training and annotation, translation QA, ...

NV5

Senior Geospatial Analyst

Lexington, KY · On-site +1

Use GIS software and related tools, including ArcGIS Pro, ArcGIS Online, Enterprise Geodatabases, QGIS, and remote sensing or mobile mapping platforms, to support data production and analysis.

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All JobsOnline Data Annotation JobsRemote Online Data Annotation JobsRemote Online Data Annotation Jobs in Kentucky

Remote Online Data Annotation information

What is the difference between Remote Online Data Annotation vs Remote Data Labeler?

AspectRemote Online Data AnnotationRemote Data Labeler
Primary RoleAnnotating data for AI training, including images, text, audioLabeling data to categorize or tag content for machine learning
Skills & CertificationsAttention to detail, basic technical skills, sometimes familiarity with annotation toolsSimilar skills, often no formal certifications required
Work EnvironmentRemote, often part-time or freelanceRemote, flexible hours, similar industry usage
Industry UsageAI, machine learning, data science companiesAI training datasets, machine learning projects

Both roles involve labeling data for AI models, with Remote Online Data Annotation often encompassing a broader range of annotation tasks and tools. They share similar work environments and industry applications, making them closely related but with slight differences in scope and complexity.

What cities in Kentucky are hiring for Remote Online Data Annotation jobs? Cities in Kentucky with the most Remote Online Data Annotation job openings:
Remote Online Data Annotation jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Lexington, KY • Remote

$70 - $90/hr

Part-time

Posted 7 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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