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Internship Ai Data Annotation Jobs in Oregon (NOW HIRING)

$120K - $140K/yr

RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

$120K - $140K/yr

RWS Train AI helps our clients address this challenge head-on. With a seamless blend of ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

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 ...

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 ...

Experience with AI evaluation, data annotation, QA, trust and safety, or policy review * Exposure to humanintheloop workflows, or benchmarking processes * Domain expertise in a regulated or highrisk ...

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 ...

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...

Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

... AI-first approach to enable safe self-driving at scale. - Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation ...

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data ...

$32 - $40/hr

Overview The AI Engineer Intern focuses on researching and developing advanced healthcare ... data agents, setting up guardrails and governance. We are currently looking for interns who can ...

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data ...

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data ...

Data Analyst, Software Engineering Track

OR · On-site +1

$80K - $100K/yr

We're a high-growth AI and Data company scaling rapidly. In this role, you'll investigate customer ... Recent graduates and candidates with relevant internship experience are encouraged to apply.

Implement guardrails for AI systems including prompt safety, data protection, hallucination ... Internships and co-ops do not count toward this minimum. * Production experience shipping React ...

You will work at the intersection of AI, music data, and product thinking, helping us build smarter ... related role (internships and strong side projects count). A genuine AI-first mindset: you ...

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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.
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 July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Program Manager - Train AI Data Services

RWS Group

$120K - $140K/yr

Full-time

Retirement, PTO

Posted 9 days ago


Job description

Job Purpose

The Program Manager's primary responsibilities are managing large scale client programs, maintaining existing client relationships within the account, and growing new opportunities. They are responsible for delivery services, ensuring quality and timeline requirements are met, the management and mentorship of staff implementing the programs, and maintaining client satisfaction.

About RWS Train AI Data Services

Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do - our clients need responsible AI data that's targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. RWS Train AI helps our clients address this challenge head-on. 

With a seamless blend of technological understanding and human intelligence, RWS Train AI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, Train AI supports four of the world's top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels.

For further information, please visit: RWSTrainAI 

Job Overview

Key Responsibilities

  • Lead the endtoend delivery for programs supporting a strategic client.
  • Oversee complex workstreams including annotation, labeling, linguistic validation, data operations, and ML pipeline support.
  • Implement governance frameworks, dashboards, and delivery controls that meet the strategic client's standards.
  • Apply data-driven decision-making to optimize throughput, accuracy, and productivity.
  • Manage, mentor and motivate staff, provide project team oversight and supervision. 
  • Oversee development of project plans and timelines, project specifications, and track execution of project tasks using defined metrics according to a measurement plan.  
  • Ensure delivery KPIs, SLAs, quality targets, and performance metrics are consistently achieved.
  • Drive root-cause analyses and systemic improvement initiatives.
  • Track project P&L, budget and POs to ensure proper and timely invoicing.
  • Manage and maintain existing business and grow new opportunities within the account.

Skills & Experience 

 

  • 5 - 7 years of experience in Senior Project Management in fields like Machine Learning or Data Services.
  • BS or BA degree in a business or technology related field preferred.
  • Experience working with hyperscale technology clients (strongly preferred).
  • Deep understanding of AI/ML data operations, large-scale services delivery, or digital operations.
  • Exceptional communication, stakeholder management, and negotiation skills.
  • Proficiency with program management and analytics tools (e.g., Jira, Smartsheet, Tableau, Monday.com, etc.).
  • Experience managing multinational delivery teams across multiple programs/projects within an account. 
  • Proven experience in technology environment and in applicable vertical market.
  • Proven people, communication, and negotiation skills.  
  • Ability to understand P&L financials.
  • Ability to maintain professionalism and confidentiality with proprietary information.

Benefits

  • Amazing benefits! (Seriously!)  
  • Generous paid time off package, starting at 25 days per year (10 sick and 15 vacation), plus company holidays, birthday day off, paid volunteer time, and 100% paid parental leave. 
  • 401(k) Retirement plan with company match. 
  • Company-wide agile work policy with flexible work arrangements. 
  • Opportunities for training, professional development, and personal growth. 
  • Smart, engaged co-workers and a global culture of diversity, innovation, and opportunity. 

Base Pay 

$120,000 - $140,000 / year 

Actual rate of pay may vary based on factors including, but not limited to: position offered, location, education, training, and/or experience. Total compensation may also include variable incentives, bonuses, benefits, and/or other perks, as outlined in any formal offer made. 

Life at RWS

Life at RWS - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you'll love life at RWS. 

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. 

In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. 

RWS Values 

Get the 3Ps right - Partner, Pioneer, Progress - and well Deliver together as RWS.

Covid Vaccination - All RWS employees hired for positions that require working on-site at RWS offices, customer offices, travel on behalf of RWS, and/or in-person meetings will be required to comply with the RWS USA COVID-19 Vaccination and Testing Policy. RWS complies with federal, state, and local laws regarding accommodations related to this policy.

Recruitment Agencies: RWS Holdings PLC does not accept agency resumes.  Please do not forward any unsolicited resumes to any RWS employees.  Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.

#LI-JD1Employment Type: FULL_TIME