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Per Diem Ai Data Annotation Jobs in Michigan (NOW HIRING)

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.

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.

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.

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.

Per diem structural welders Alma, Michigan Pay: $30-31/hr + $150 per diem Contract Duration: 0-1 ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

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Per Diem Ai Data Annotation information

What is a per diem AI data annotation?

A Per Diem AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—on a flexible, as-needed basis to help train artificial intelligence and machine learning models. 'Per diem' means the position is paid by the day or for specific tasks, rather than being a full-time or salaried role. These jobs are vital for ensuring AI systems learn from accurate, well-labeled datasets. The work is often remote and may vary in workload based on project needs. Attention to detail and consistency are important qualities for success in this role.

What are the key skills and qualifications needed to thrive as a per diem AI data annotation specialist?

To thrive as a Per Diem AI Data Annotation Specialist, you need strong attention to detail, good analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher education in a related field. Familiarity with annotation platforms, data management systems, and sometimes basic programming or scripting tools is beneficial. Reliability, time management, and clear communication are key soft skills for meeting project deadlines and collaborating with remote teams. These skills ensure the accuracy and consistency of labeled data, which is critical for training high-performing AI models.

What are some common challenges faced by per diem AI data annotation professionals, and how can they be addressed?

Per Diem AI Data Annotation professionals often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and adapting to evolving project guidelines. It is important to carefully review annotation instructions and ask clarifying questions when uncertainties arise. Staying organized and regularly communicating with team leads or project managers can help address ambiguities and ensure high-quality, accurate annotations. Additionally, leveraging available training resources and collaborating with peers can aid in staying up-to-date with best practices.

What is the difference between Per Diem Ai Data Annotation vs Data Labeler?

AspectPer Diem Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often on a per-project basisLabeling data to improve AI models, often on a per-task basis

Both roles involve data annotation and are used in AI and machine learning industries. Per Diem Ai Data Annotation typically refers to short-term, project-based work with flexible schedules, while Data Labelers may work on similar tasks but often with a broader scope or different employment arrangements. Both require attention to detail and basic technical skills, making them closely related roles in the data annotation field.

What are the most commonly searched types of Ai Data Annotation jobs in Michigan?

The most popular types of Ai Data Annotation jobs in Michigan are:

What are popular job titles related to Per Diem Ai Data Annotation jobs in Michigan?

For Per Diem Ai Data Annotation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Per Diem Ai Data Annotation jobs in Michigan look for?

The top searched job categories for Per Diem Ai Data Annotation jobs in Michigan are:

What cities in Michigan are hiring for Per Diem Ai Data Annotation jobs?

Cities in Michigan with the most Per Diem Ai Data Annotation job openings:

AI Trainer - Microbiology Expert

micro1 AI

Warren, MI • Remote

$70 - $90/hr

Part-time

Re-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.