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Data Annotation For Ai Jobs in Oregon (NOW HIRING)

$120K - $140K/yr

... 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 ...

$120K - $140K/yr

... 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 ...

This position is ideal for candidates with strong attention to detail, excellent hand-eye ... Support data annotation and quality validation activities * Maintain accurate operational records ...

This position is ideal for candidates with strong attention to detail, excellent hand-eye ... Support data annotation and quality validation activities * Maintain accurate operational records ...

OR · On-site

$50 - $60/hr

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Posted today

Experience with AI evaluation, data annotation, QA, trust and safety, or policy review * Exposure ... A strong instinct for what "good" looks like and the discipline to define and measure it. You enjoy ...

OR · On-site

$50 - $60/hr

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Posted today

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Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What job categories do people searching Data Annotation For Ai jobs in Oregon look for? The top searched job categories for Data Annotation For Ai jobs in Oregon are:
What cities in Oregon are hiring for Data Annotation For Ai jobs? Cities in Oregon with the most Data Annotation For Ai job openings:
Infographic showing various Data Annotation For Ai job openings in Oregon as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Program Manager - Train AI Data Services

RWS Group

On-site

$120K - $140K/yr

Full-time

Retirement, PTO

Re-posted yesterday


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