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Internship Ai Data Labeling Jobs in Reno, NV (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

... 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 ...

Workiva

Spring 2027 Intern - Data Analytics

Sparks, NV · On-site

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

New

Workiva

Spring 2027 Intern - Data Analytics

Sparks, NV · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

New

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All JobsAi Data Labeling JobsInternship Ai Data Labeling JobsInternship Ai Data Labeling Jobs in Reno, NV

Internship Ai Data Labeling information

See Reno, NV salary details

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How much do internship ai data labeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship ai data labeling in Reno, NV is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 per hour, depending on experience, location, and employer.

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 popular job titles related to Internship Ai Data Labeling jobs in Reno, NV?

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What job categories do people searching Internship Ai Data Labeling jobs in Reno, NV look for?

The top searched job categories for Internship Ai Data Labeling jobs in Reno, NV are:

What cities near Reno, NV are hiring for Internship Ai Data Labeling jobs?

Cities near Reno, NV 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 Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,672 per year, or $22.4 per hour.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Reno, NV • Remote

Full-time

Posted 14 days ago

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply