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

Pwc

AI Engineer

Indianapolis, IN

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

micro1 AI

M&A Attorney - AI Trainer - Remote

South Bend, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Evansville, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Fort Wayne, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Fishers, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Carmel, IN · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Cisco

Applied AI Scientist

Indianapolis, IN

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ...

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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, and why are they important?

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:
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Entry Level Ai Data Trainer jobs near you
Infographic showing various Entry Level Ai Data Trainer job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Robotics AI Data Collection Operator (Robot Trainer)

TSMG Holding

Indianapolis, IN • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
TSMG Holding is seeking Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems. In this role, you will interact directly with robotic platforms and generate high-quality demonstration data to help train advanced AI models.
Responsibilities:
• Operate robotic systems using teleoperation interfaces and specialized controllers
• Perform demonstrations of physical tasks to generate training data
• Execute repetitive tasks with a strong focus on consistency and quality
• Follow detailed operational procedures and data collection protocols
• Review recorded demonstrations and identify quality issues
• Provide feedback on robot performance and task execution
• Assist with robot setup, calibration, and workspace preparation
• Maintain accurate records of completed activities
• Meet daily productivity and quality targets
Qualifications:
Required:
• Strong attention to detail
• Good hand-eye coordination and manual dexterity
• Ability to follow structured procedures
• Comfortable performing repetitive tasks
• Basic computer skills
• Ability to stand or work at a station for extended periods
Preferred:
• Experience with robotics or automation systems
• Manufacturing, assembly, laboratory, or technical experience
• Gaming or simulation experience using controllers
• Interest in AI, robotics, or emerging technologies
Company:
TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the company is headquartered in Warsaw, POL, with a team of 201-500 employees. The company is currently Growth Stage.

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