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Internship Ai Data Labeling Jobs in Nevada (NOW HIRING)

CBRE

Union Data Center Technician

Reno, NV · On-site

Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

CBRE

Union Data Center Technician

Reno, NV · On-site

Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ... and labeling. • Reports to Operations Manager and take daily directions from Technician ...

CBRE

Union Data Center Technician

Reno, NV · On-site

... of AI/ML platforms. POSITION : Union Data Center Cabling Technician I About the Role: As a ... and labeling. • Reports to Operations Manager and take daily directions from Technician ...

INSPYR Solutions

Data Center Technician

Reno, NV · On-site

Installing, labeling, and troubleshooting fiber, copper, and other cabling infrastructure ... AI and Automated Employment Decision Tool Policy: . By submitting an application, you are ...

CBRE

Union Data Center Lead Technician

Reno, NV · On-site

Should understand and be capable in performing field terminations and labeling. * Capable of ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

Deloitte

Cyber Data Protection Manager

Las Vegas, NV · Remote

$106K - $143K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Colovore

Data Center Operations Engineer: Night Shift

Reno, NV · On-site

$69K - $93K/yr

About the Organization Colovore is the leader in ultra-high-density, liquid-cooled AI colocation ... Perform day-to-day tasks including equipment installation, racking and stacking, cabling, labeling ...

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Internship Ai Data Labeling information

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 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 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 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 the most commonly searched types of Ai Data Labeling jobs in Nevada? The most popular types of Ai Data Labeling jobs in Nevada are:
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What cities in Nevada are hiring for Internship Ai Data Labeling jobs? Cities in Nevada with the most Internship Ai Data Labeling job openings:
Internship Ai Data Labeling jobs near you
Infographic showing various Internship Ai Data Labeling job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

YourLiebherrCareer: Students - Data & AI (m/f/d) (83245)

Liebherr USA Co.

North Las Vegas, NV • On-site, Remote

$103K - $124K/yr

Other

Posted 29 days ago

Job description

We are looking for motivated students in the area of Data & AI for an internship, a bachelor's or master's thesis, or a working student position to support our team in Ulm.

Your responsibilities
  • You're excited to contribute to meaningful projects and collaborate with colleagues from different business areas
  • You enjoy making complex topics easy to understand and relatable for others
  • Collaborate closely with the Data & AI team to shape impactful and innovative use cases that drive real business value
  • Extract meaningful insights from large datasets
Your qualifications
  • Currently studying Computer Science or a related field, ideally with a focus on Data Science, Machine Learning or Artificial Intelligence
  • A strong motivation to dive into new areas of knowledge-both technical and domain-specific-and to actively contribute to our evolving projects
  • Interest for technological innovations and trends in the data domain
  • High degree of motivation & ability to collaborate in a team
  • Good practical skills in programming (e.g. Python or SQL), data structures and algorithms
  • Good theoretical in data science, data analysis, visualization or data engineering
  • Excellent spoken and written communication skills in German & English
  • We offer flexibility for remote work, while also valuing regular on-site collaboration at our Ulm office
Our offer

At the Liebherr Digital Development Center, we are working on a wide range of digital solutions from cloud applications to embedded software to data analysis. As an intern/working student (m/f/d) in the Data & AI team, you will be able to gain a deep insight into cutting edge technologies in areas such as big data, natural language processing or generative AI. At the same time, you will enjoy a modern and comforting work environment with enthusiastic colleagues in our new Ulm offices, allowing you to do your best work with great support from everyone around you. While we offer flexibility for remote work, we also value regular on-site collaboration at our Ulm office.

Have we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Lena Dangel.

One Passion. Many Opportunities.

The company

Liebherr-Digital Development Center GmbH in Ulm develops digital solutions for the entire Liebherr Group. Our passionate team from the areas of software development, engineering and data science works together on various projects from the whole Liebherr product world. Our mission: creating outstanding digital experiences!   

Location

Liebherr-Digital Development Center GmbH

Konrad-Zuse-Strae 4

89081 Ulm

Germany (DE)

Contact

Lena Dangel

Lena.Dangel@liebherr.com

[Not translated in selected language]

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