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Internship Ai Data Annotation Jobs in Oregon (NOW HIRING)

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Senior AI / Data Science Engineer

Hillsboro, OR ยท On-site

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lead Data Scientist

OR ยท On-site +1

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Machine Learning Engineer

OR ยท On-site +1

Collaborate with the annotation team to improve data quality, labeling practices, and machine ... Experience using AI-assisted development tools thoughtfully to improve productivity, quality, and ...

As a Staff AI Engineer, you will own the architecture and technical roadmap for object perception ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...

As a Staff AI Engineer, you will own the architecture and technical roadmap for object perception ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...

Sales Data Analyst Intern

Hillsboro, OR ยท On-site

$31 - $42/hr

Qorvo's Internship Program is designed for college students currently enrolled in an accredited ... Support the development and evaluation of AI capabilities within Databricks, including chatbot and ...

Qorvo's Internship Program is designed for college students currently enrolled in an accredited ... Support the development and evaluation of AI capabilities within Databricks, including chatbot and ...

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Internship Ai Data Annotation information

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

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 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 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 most commonly searched types of Ai Data Annotation jobs in Oregon?

The most popular types of Ai Data Annotation jobs in Oregon are:

What are popular job titles related to Internship Ai Data Annotation jobs in Oregon?

For Internship Ai Data Annotation jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Ai Data Annotation jobs in Oregon look for?

The top searched job categories for Internship Ai Data Annotation jobs in Oregon are:

Infographic showing various Internship Ai Data Annotation job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Robot Teleoperator (AI & Robotics)

TSMG

Salem, OR โ€ข On-site

Full-time

Re-posted 8 hours ago


Job description

About the Role

We are seeking Robot Teleoperators to support next-generation robotics and AI programs.

In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping robots perform real-world tasks safely and efficiently. Your work will directly contribute to the development and validation of intelligent robotic systems used across manufacturing, logistics, retail, and service environments.

This position is ideal for candidates with strong attention to detail, excellent hand-eye coordination, and the ability to remain focused in fast-paced operational environments.

What You'll Do
Robot Operations
  • Operate robots using teleoperation consoles, controllers, and monitoring systems
  • Monitor live video feeds and robot telemetry
  • Perform real-time movement adjustments and task execution
  • Ensure safe and efficient robot operation during active sessions
  • Execute operational procedures according to established guidelines
Data Collection & Quality
  • Capture operational data during robot activities
  • Document observations and system performance
  • Identify anomalies, operational issues, or task failures
  • Support data annotation and quality validation activities
  • Maintain accurate operational records and logs
Continuous Improvement
  • Provide feedback on robot performance and usability
  • Assist engineering teams in identifying opportunities for improvement
  • Participate in testing of new workflows and operational procedures
What We're Looking For
Required
  • Strong hand-eye coordination
  • Excellent attention to detail
  • Ability to maintain concentration for extended periods
  • Basic computer proficiency
  • Ability to follow detailed operating procedures
  • Strong communication skills
Preferred
  • Experience with gaming consoles, simulation platforms, or real-time control systems
  • Experience in robotics, AV/ADAS, drones, automation, or technical operations
  • Experience working in shift-based environments
  • Familiarity with multi-monitor workstations
Why Join Us
  • Work directly with cutting-edge robotics technology
  • Gain experience in one of the fastest-growing technology sectors
  • Structured training and career development opportunities
  • Collaborative environment with engineering and operations teams
  • Opportunity to contribute to the future of intelligent machines

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.