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Internship Ai Data Annotation Jobs in Indiana (NOW HIRING)

Michelin

Data Engineer

Woodburn, IN

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

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Internship Ai Data Annotation information

What are the typical challenges faced during an AI Data Annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is an AI Data Annotation Internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

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

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the key skills and qualifications needed to thrive as an Internship AI Data Annotation specialist, and why are they important?

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.
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Internship Ai Data Annotation jobs near you
Hiring our Heroes Fellowship (12-week program) - AI & Engineering

Hiring our Heroes Fellowship (12-week program) - AI & Engineering

Deloitte

Indianapolis, IN • Hybrid

$46K - $63K/yr

Other

Re-posted 10 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Hiring Our Heroes Fellowship - AI & Engineering
Are you interested in maximizing your military professional experience while learning how to transfer your skills to the corporate world? As a Hiring Our Heroes AI & Engineering Fellow at Deloitte, you'll have the opportunity to immerse yourself in our AI & Engineering practice, gaining exposure to the work of industry leaders as they address complex challenges for clients.

The Hiring Our Heroes Corporate fellowship program allows Transitioning Military members to participate in a 12 week fellowship program while they remain employed by the Military. Fellows will be provided Deloitte designed learning experience to prepare them for a client service environment with project shadowing integrated; allowing them to transition careers with confidence. Upon successful completion of this 12 week fellowship fellows may have the opportunity to be considered for a full time role. 

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required:

  • Bachelor's Degree
  • Active Duty members in the US Armed Forces with authorization to participate in a DoD SkillBridge program by their respective command
  • Enrolled in Hiring Our Heroes foundation and eligible to participate in the fellowship program
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
  • 2+ years of experience in application development or software development
  • Exposure to artificial intelligence through academic coursework, certifications, internships, or professional experience

#DeloitteHoH
Qualifications:

Hiring Our Heroes Fellowship - AI & Engineering
Are you interested in maximizing your military professional experience while learning how to transfer your skills to the corporate world? As a Hiring Our Heroes AI & Engineering Fellow at Deloitte, you'll have the opportunity to immerse yourself in our AI & Engineering practice, gaining exposure to the work of industry leaders as they address complex challenges for clients.

The Hiring Our Heroes Corporate fellowship program allows Transitioning Military members to participate in a 12 week fellowship program while they remain employed by the Military. Fellows will be provided Deloitte designed learning experience to prepare them for a client service environment with project shadowing integrated; allowing them to transition careers with confidence. Upon successful completion of this 12 week fellowship fellows may have the opportunity to be considered for a full time role. 

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required:

  • Bachelor's Degree
  • Active Duty members in the US Armed Forces with authorization to participate in a DoD SkillBridge program by their respective command
  • Enrolled in Hiring Our Heroes foundation and eligible to participate in the fellowship program
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
  • 2+ years of experience in application development or software development
  • Exposure to artificial intelligence through academic coursework, certifications, internships, or professional experience

#DeloitteHoH
Education:Bachelor's DegreeEmployment Type:

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