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Entry Level Ai Data Trainer Jobs in Indiana (NOW HIRING)

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

micro1 AI

AI Trainer - Microbiology Expert

Fort Wayne, IN · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

Evansville, IN · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

Fishers, IN · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

South Bend, IN · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

Carmel, IN · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

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Entry Level Ai Data Trainer information

What types of tasks and collaboration can I expect as an entry level AI data trainer?

As an Entry Level AI Data Trainer, you will primarily be responsible for labeling, annotating, and curating data sets to help improve machine learning models. Your daily tasks often include reviewing text, images, or audio and providing accurate labels according to detailed guidelines. You will frequently collaborate with data scientists, engineers, and other trainers to ensure consistency and quality in the data. This collaborative environment offers valuable exposure to the AI development process, and high performers often have opportunities to advance into more specialized roles over time.

What is the difference between Entry Level Ai Data Trainer vs Data Annotator?

AspectEntry Level Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech companies, data labeling services, AI firms

While both roles involve working with data, Entry Level Ai Data Trainers focus on training AI models by providing structured data and feedback, often requiring some technical understanding. Data Annotators primarily label and categorize data to prepare datasets for AI training. The roles are similar in work environment and industry but differ in responsibilities and skill requirements.

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

To thrive as an Entry Level AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation processes, often supported by a bachelor's degree in a related field. Familiarity with data labeling tools, content management systems, and basic programming or scripting (such as Python) is typically required. Excellent communication, teamwork, and adaptability help you effectively interpret guidelines and collaborate with cross-functional teams. These skills ensure high-quality data preparation, which is essential for developing accurate and reliable AI models.

What does an entry level AI data trainer do?

An Entry Level AI Data Trainer is responsible for preparing, labeling, and organizing data that is used to train artificial intelligence models. This involves tasks such as categorizing images, annotating text, and ensuring that data is accurate and relevant for machine learning algorithms. They work closely with data scientists and engineers to improve the quality of AI systems by providing clean and well-labeled datasets. The role is a great way to start a career in artificial intelligence, as it offers hands-on experience with data and insights into how AI models are developed.

What are the most commonly searched types of Ai Data Trainer jobs in Indiana?

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

What are popular job titles related to Entry Level Ai Data Trainer jobs in Indiana?

For Entry Level Ai Data Trainer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Trainer jobs in Indiana look for?

The top searched job categories for Entry Level Ai Data Trainer jobs in Indiana are:

Entry Level Ai Data Trainer jobs near you
Infographic showing various Entry Level Ai Data Trainer job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

AI Data Trainer - MS Suite - Remote

micro1 AI

Indianapolis, IN • Remote

$35 - $50/hr

Part-time

Re-posted 6 days ago

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. 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.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

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