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Image Annotation Jobs in Oregon (NOW HIRING)

Welocalize, Inc.

OR

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 ...

Welocalize, Inc.

OR

$16 - $20.75/hr

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 ...

Welocalize, Inc.

OR

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 ...

All JobsImage Annotation JobsImage Annotation Jobs in Oregon

Image Annotation information

See Oregon salary details

$803

$2.2K

$3.3K

How much do image annotation jobs pay per week?

As of Jun 9, 2026, the average weekly pay for image annotation in Oregon is $2,238.06, according to ZipRecruiter salary data. Most workers in this role earn between $1,646.15 and $2,784.62 per week, depending on experience, location, and employer.

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

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What is an Image Annotation job?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the most commonly searched types of Image Annotation jobs in Oregon? The most popular types of Image Annotation jobs in Oregon are:
What are popular job titles related to Image Annotation jobs in Oregon? For Image Annotation jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in Oregon look for? The top searched job categories for Image Annotation jobs in Oregon are:
What cities in Oregon are hiring for Image Annotation jobs? Cities in Oregon with the most Image Annotation job openings:
Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Oregon as of May 2026, with employment types broken down into 49% Full Time, 18% Part Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $116,379 per year, or $56 per hour.
Data Labeling Analyst - Speech & Voice AI

Data Labeling Analyst - Speech & Voice AI

Welocalize, Inc.

OR

Full-time

Posted 9 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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