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Data Labeler Jobs in Oregon (NOW HIRING)

Welocalize, Inc.

OR

$16 - $20.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Welocalize, Inc.

OR · On-site

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

HealthEquity

Own execution of AI/ML foundational programs such as training data pipelines, curated model ready datasets, data labeling/annotation initiatives, feature store enablement, and model monitoring ...

F2Onsite

Be Seen First

Onsite Data Center /Cabling Technician

The Dalles, OR · On-site

$35 - $40/hr

Onsite Data Center Cabling Project Technicians - The Dalles, OR * Schedule : Multiple Shifts ... Label cables on both ends with Flag Labeler * * Customer to provide labeling schema * Install pre ...

New

Amgen

OR · On-site

Leads the development and maintenance of core labeling documents including Core Data Sheet (CDS), core patient information leaflet (cPIL), and core instructions for use (cIFU)and regional labeling ...

Accenture

Data Protection Sr. Analyst

Portland, OR · Hybrid

$84K - $100K/yr

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

CBRE

Union Data Center Technician

Hermiston, OR · On-site

Exhibit quality workmanship on all work and maintain Data Center cleanliness. * Follow all ... Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ...

Accenture

Data Protection Consultant

Portland, OR · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

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All JobsData Labeler JobsData Labeler Jobs in Oregon

Data Labeler information

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How much do data labeler jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data labeler in Oregon is $14.77, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $16.25 per hour, depending on experience, location, and employer.

What is a Data Labeler job?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

What is the role of a data labeler?

A data labeler is responsible for annotating and categorizing data, such as images, text, or videos, to help machine learning models understand and learn from the data. This role often involves using specialized tools and requires attention to detail to ensure accurate labeling, which is essential for training effective AI systems.

What does a typical day look like for a Data Labeler and how do team interactions work?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

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

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeler jobs in Oregon? The most popular types of Data Labeler jobs in Oregon are:
What are popular job titles related to Data Labeler jobs in Oregon? For Data Labeler jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Labeler jobs in Oregon look for? The top searched job categories for Data Labeler jobs in Oregon are:
Data Labeler jobs near you
Infographic showing various Data Labeler job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $30,717 per year, or $14.8 per hour.
Data Labeling Associate

Data Labeling Associate

Welocalize, Inc.

OR

$16 - $20.75/hr

Full-time

Posted 12 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

204th of 426 rated business services

Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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