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Data Annotation Engineer Jobs in Oregon (NOW HIRING)

$120K - $140K/yr

... as prompt engineering, response refinement and red teaming with locale-specific domain experts ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

$120K - $140K/yr

... as prompt engineering, response refinement and red teaming with locale-specific domain experts ... Oversee complex workstreams including annotation, labeling, linguistic validation, data operations ...

OR · On-site

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

... tools, data annotation tools, dataset curation tools, result comparison tools, and more. Qualifications: - Bachelor's degree in Computer Science, Computer Engineering or related engineering ...

Partner with product/engineering to validate and verify fixes, ensuring alignment with client ... Experience with AI evaluation, data annotation, QA, trust and safety, or policy review * Exposure ...

Your work reduces manual effort in drawing production, annotation, and data extraction, giving engineers meaningful time back on every project. You are responsible for writing production-quality code ...

Product Manager

$140K - $160K/yr

... data collection and content generation, data annotation or labelling, human-in-the-loop data ... Work closely with engineering, design, marketing, finance, and operations teams to ensure ...

Product Manager

$140K - $160K/yr

... data collection and content generation, data annotation or labelling, human-in-the-loop data ... Work closely with engineering, design, marketing, finance, and operations teams to ensure ...

... ready datasets, data labeling/annotation initiatives, feature store enablement, and model ... Bachelor's degree in Business, Computer Science, Engineering, or related discipline or equivalent ...

Senior Business Intelligence Analytics Engineer

OR · On-site +1

$51 - $66.25/hr

You'll own the design and delivery of trusted data models across the Jamf Data Platform, from ... Design and maintain Snowflake semantic views with rich metadata annotation, business definitions ...

Mechanical / BIM Designer

OR · Remote

$70K - $88K/yr

... and data center projects. This is not intended to be a senior mechanical engineering role. The ... Maintain drawing quality, standards, layering, annotation, title blocks, revision history, and ...

Data Annotation Engineer information

See Oregon salary details

$54.5K

$155.9K

$208.3K

How much do data annotation engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data annotation engineer in Oregon is $155,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $207,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Oregon? For Data Annotation Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Oregon look for? The top searched job categories for Data Annotation Engineer jobs in Oregon are:
What cities in Oregon are hiring for Data Annotation Engineer jobs? Cities in Oregon with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Oregon as of June 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $155,908 per year, or $75 per hour.

Program Manager - Train AI Data Services

RWS Group

$120K - $140K/yr

Full-time

Retirement, PTO

Posted 5 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