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Overnight Ai Data Annotation Jobs in Indiana (NOW HIRING)

Caraa

Principal Data Engineer

Indianapolis, IN · On-site

$150 - $190/hr

... annotation pipelines on one trusted foundation. What You'll Need * 10+ years in data engineering, with 3+ years architecting data platforms for data products, analytics, or AI-driven products.

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All JobsAi Data Annotation JobsOvernight Ai Data Annotation JobsOvernight Ai Data Annotation Jobs in Indiana

Overnight Ai Data Annotation information

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

AspectOvernight Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentRemote or on-site; flexible hours, often overnight shiftsRemote or on-site; flexible or daytime shifts
Industry UsageAI and machine learning companies, tech firmsTech companies, data services, AI projects
Search & Comparison IntentCommonly compared for roles involving data annotation tasksOften compared as a related data labeling role

Overnight Ai Data Annotation involves labeling data for AI models, often requiring some technical understanding, while Data Labeler is a broader term for similar tasks. Both roles are essential in AI development, but Overnight Ai Data Annotation typically emphasizes overnight shifts and may involve more specialized tools.

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

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Overnight Ai Data Annotation jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Evansville, IN • Remote

$70 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply