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Internship Ai Data Labeling Jobs in Indiana (NOW HIRING)

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

... a Data Scientist to provide engineering and technical support to assist our government customer ... and AI/CV-assisted target labeling of targets within the video. * Provide recommendations for ...

... labeling and testing connections. A strong understanding of wiring schemes, job floor plans, and ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Bachelor's degree (or equivalent experience) in a related field such as Information Systems, Data ... internships, projects, or self-directed learning. * Familiarity with Microsoft 365 tools (Teams ...

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Internship Ai Data Labeling information

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are the key skills and qualifications needed to thrive as an AI data labeling intern?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

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

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

What job categories do people searching Internship Ai Data Labeling jobs in Indiana look for?

The top searched job categories for Internship Ai Data Labeling jobs in Indiana are:

What cities in Indiana are hiring for Internship Ai Data Labeling jobs?

Cities in Indiana with the most Internship Ai Data Labeling job openings:

AI/ML Data Contributor

TSMG Holding

Indianapolis, IN • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
TSMG Holding is currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Responsibilities:
• Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
• Participate in remote assignments or attend on-site sessions when required
• Follow project guidelines and ensure high-quality task completion
• Provide feedback and input during testing activities
• Complete tasks within given timelines
Qualifications:
Required:
• Must be based in the United States
• Strong attention to detail and ability to follow instructions
• Basic computer skills and familiarity with digital tools
• Reliable internet connection and access to a computer or smartphone
• Availability to participate in task-based work (schedule may vary)
Preferred:
• Previous experience in data annotation, QA, or testing
• Interest in AI, machine learning, 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.