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Prompt Data Annotation Ai Jobs in Powder Springs, GA

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Lead Data/AI Engineering

Atlanta, GA · On-site

$141K - $237K/yr

Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and ... Collect, prepare, and analyze data to support AI and machine learning models. * Monitor AI ...

Data Scientist

Atlanta, GA · On-site

$110 - $170/hr

Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ... Evaluate prompt strategies, tool-use patterns, and routing logic; recommend model-tier choices ...

Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ... Evaluate prompt strategies, tool-use patterns, and routing logic; recommend model-tier choices ...

Engage in dynamic, prompt-driven conversations with language models, challenging them with work ... Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy ...

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note: Notes: Need ... AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model ...

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.

Showing results 21-40

Prompt Data Annotation Ai information

See Powder Springs, GA salary details

$10

$34

$68

How much do prompt data annotation ai jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for prompt data annotation ai in Powder Springs, GA is $34.33, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $37.55 per hour, depending on experience, location, and employer.

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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What cities near Powder Springs, GA are hiring for Prompt Data Annotation Ai jobs?

Cities near Powder Springs, GA with the most Prompt Data Annotation Ai job openings:

Infographic showing various Prompt Data Annotation Ai job openings in Powder Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,409 per year, or $34.3 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Atlanta, GA • Remote

$70 - $90/hr

Part-time

Posted 20 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.