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Entry Level Ai Data Annotation Jobs in Fort Wayne, IN

Actalent

Data Entry Clerk

Fort Wayne, IN · On-site

$16.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Previous customer service, administrative, or data entry experience Entry Level This on-site ... AI tools.

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Entry Level Controls Engineer

Fort Wayne, IN · On-site

$82K - $106K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Entry Level Position: College Graduate - 2 years experience This is a broad opportunity to grow ... to AI to User Interface tools. * Provide our clients with real-time data, and actionable ...

Datavant

Health Information Specialist I

Fort Wayne, IN · On-site

$91K - $91K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... powering the AI revolution in healthcare, Datavanters are building the future of how data is ... is an entry level position responsible for processing all release of information (ROI ...

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Entry Level Ai Data Annotation information

See Fort Wayne, IN salary details

$11

$19

$31

How much do entry level ai data annotation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level ai data annotation in Fort Wayne, IN is $19.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.59 per hour, depending on experience, location, and employer.

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are the key skills and qualifications needed to thrive as an entry level AI data annotation specialist?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the most commonly searched types of Ai Data Annotation jobs in Fort Wayne, IN?

The most popular types of Ai Data Annotation jobs in Fort Wayne, IN are:

What are popular job titles related to Entry Level Ai Data Annotation jobs in Fort Wayne, IN?

For Entry Level Ai Data Annotation jobs in Fort Wayne, IN, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Annotation jobs in Fort Wayne, IN look for?

The top searched job categories for Entry Level Ai Data Annotation jobs in Fort Wayne, IN are:

Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Fort Wayne, IN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,536 per year, or $20 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Fort Wayne, IN • 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.

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