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Prompt Data Annotation Ai Jobs in Michigan (NOW HIRING)

The ideal candidate will possess a strong background in machine learning, data science, AI ... Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or AI automation ...

Working understanding of AI/ML concepts, LLMs, prompt-based systems, tokens, GenAI, automation, BI ... Knowledge of data governance, information security, enterprise standards, policies, and measures to ...

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AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Experience with prompt engineering and function calling in LLMs * Experience integrating APIs and ... data * Familiarity with Git and development in a collaborative environment Nice to Have Technical ...

Prompt pipelines * Agent-based architectures * Retrieval-Augmented Generation (RAG) systems ... Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ...

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AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

... prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model ... AI services using scalable cloud-native architecture (APIs, containers, CI/CD). • Optimize ...

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Architect and develop scalable data and AI pipelines that support retrieval, orchestration ... Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using ...

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Prompt pipelines * Agent‑based architectures * Retrieval‑Augmented Generation (RAG) systems ... Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ...

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Showing results 21-40

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 Michigan as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 33% Hybrid, and 67% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Lansing, MI • Remote

$70 - $90/hr

Part-time

Posted 10 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.