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Internship Ai Data Annotation Jobs in Reno, NV (NOW HIRING)

Internship Ai Data Annotation information

See Reno, NV salary details

$11

$22

$41

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

As of Jul 14, 2026, the average hourly pay for internship ai data annotation 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 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.
What are popular job titles related to Internship Ai Data Annotation jobs in Reno, NV? For Internship Ai Data Annotation jobs in Reno, NV, the most frequently searched job titles are:
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What cities near Reno, NV are hiring for Internship Ai Data Annotation jobs? Cities near Reno, NV with the most Internship Ai Data Annotation job openings:
AI Agent Developer I

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

13th of 61 rated aerospace companies


Job description

The Agent Developer I is an entry-level role designed for earlycareer technologists ready to build the next generation of autonomous software systems. In this position, you will help design, develop, and deploy intelligent agents capable of multi-step reasoning, tool use, and decision-making with minimal human oversight. This role blends software engineering, systems design, and large language model (LLM) orchestration to create agents and multi-agent systems that can autonomously execute tasks, interact with external tools and APIs, and adapt to dynamic, realworld environments. It's an exciting opportunity for candidates passionate about emerging technologies who want to grow their technical skill set and contribute to impactful, mission-driven projects in a collaborative environment.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Stay up-to-date with the latest advancements in AI/ML technologies by participating in training, workshops, and team discussions..
  • Develop and implement AI agents and multiagent systems capable of autonomously executing tasks, making contextdriven decisions, and interacting with external tools, APIs, databases, and external services.
  • Architect and orchestrate multistep, multiagent workflows, decomposing highlevel goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
  • Implement logic for LLMdriven decisionmaking, including tool selection, tool chaining, fallback strategies, guardrails, and overall agent resilience.
  • Build and maintain evaluation and observability frameworks to measure agent accuracy, reliability, and efficiency, while continuously monitoring production behavior and improving system robustness.
  • Develop memory, retrieval, and RAG systems using vector databases or knowledge graphs to enhance agent context, reasoning, and longterm performance.
  • Deploy, scale, and manage agentbased solutions on cloud platforms such as AWS, Azure, and GCP.
  • Collaborate with crossfunctional teams-including product, domain experts, engineering, and security-to ensure agent capabilities align with business requirements and operational constraints.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 0-2 years of experience in cloud engineering or a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 4 years of related experience is required.
  • Basic programming skills in Python, C++, C# or Java.
  • Understanding of foundational machine learning concepts and techniques.
  • Strong analytical and problem-solving skills.
  • Proficiency in prompt engineering and context design for reasoning and tool orchestration
  • API and tool integration skills (REST, GraphQL, microservices)Strong analytical and problem-solving skills.

Qualifications We Prefer:

  • Exposure to neural networks, signal processing, or computer vision frameworks.
  • Internship or project-based experience in AI, data science, or software development.
  • Familiarity with version control tools (e.g., Git).
  • Exposure to Agile or DevOps methodologies through coursework or internships.
  • Experience participating in team-based software development projects.
  • Ability to analyze small-to-moderate datasets using standard statistical or ML methods.

Essential Functions:

  • Work on a computer for extended hours performing coding, debugging, and testing.
  • Attend and contribute to team meetings and brainstorming sessions.
  • Travel occasionally to support testing or deployment efforts (up to 10%).

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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