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Prompt Data Annotation Ai Jobs in Georgia (NOW HIRING)

Agilent

$171K - $321K/yr

AI is the primary builder of the Fabric, not merely its consumer. This leader deploys agents that ... annotation at enterprise scale. Responsible for * Certified, versioned data products and semantic ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

* We are seeking a Senior Prompt Engineer AI Specialist Technical Analyst to support enterprise scale ... The ideal candidate must have data science and machine learning foundations with strong Python and ...

Floor & Decor

Lead Data Scientist, AI

Atlanta, GA · On-site

Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development. * Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g.

Floor & Décor

Lead Data Scientist, AI

Atlanta, GA · On-site

Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development. * Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g.

innovitusa

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will work with data scientists, software engineers, and product teams to build ... Prompt Engineering * Vector Databases (Pinecone, FAISS, Chroma, etc.) * OpenAI / Anthropic ...

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Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

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Infographic showing various Prompt Data Annotation Ai job openings in Georgia as of June 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 33% Hybrid, and 67% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

South Fulton, GA • Remote

$70 - $90/hr

Part-time

Posted 14 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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