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Data Labelling Jobs in Remote, OR (NOW HIRING)

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Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

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Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

Be Seen First

Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems. Requirements: * Fluent or native-level ...

... and labeling. * Uses power tools in a safe manner, maintains equipment, and cleans work area on a ... Uses tablet and computer to enter and retrieve data. * Keeps Lead Technician and Supervisor ...

... and labeling. * Uses power tools in a safe manner, maintains equipment, and cleans work area on a ... Uses tablet and computer to enter and retrieve data. * Keeps Lead Technician and Supervisor ...

... and labeling. * Uses power tools in a safe manner, maintains equipment, and cleans work area on a ... Uses tablet and computer to enter and retrieve data. * Keeps Lead Technician and Supervisor ...

Quality Manager

Sutherlin, OR · On-site

$115K - $130K/yr

... label verification. Ensure all test reports, inspection records are complete and traceable to each ... Utilize measurement data to develop a continuous improvement quality action plan with a clear ...

New

... label verification. Ensure all test reports, inspection records are complete and traceable to each ... Utilize measurement data to develop a continuous improvement quality action plan with a clear ...

New

Phlebotomist

Roseburg, OR · On-site

$16.25 - $20.25/hr

Accurately label, process, store, and transport specimens to the laboratory * Ensure specimen ... Accurately enter patient information, test codes, collection times, and other required data into ...

Phlebotomist

Roseburg, OR · On-site

$16.25 - $20.25/hr

Accurately label, process, store, and transport specimens to the laboratory * Ensure specimen ... Accurately enter patient information, test codes, collection times, and other required data into ...

Phlebotomist

Roseburg, OR · On-site

$22.31 - $28.90/hr

Accurately label, process, store, and transport specimens to the laboratory * Ensure specimen ... Accurately enter patient information, test codes, collection times, and other required data into ...

Phlebotomist

Roseburg, OR · On-site

$16.25 - $20.25/hr

Accurately label, process, store, and transport specimens to the laboratory * Ensure specimen ... Accurately enter patient information, test codes, collection times, and other required data into ...

Groundskeeper ll

Roseburg, OR

$14.75 - $18.75/hr

Measure, mix, apply, store, and document fertilizers, herbicides, and pesticides in strict accordance with product labels, Safety Data Sheets, company procedures, and applicable law. Use required ...

Groundskeeper ll

Roseburg, OR · On-site

$14.75 - $18.75/hr

Measure, mix, apply, store, and document fertilizers, herbicides, and pesticides in strict accordance with product labels, Safety Data Sheets, company procedures, and applicable law. Use required ...

Data Labelling information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do data labelling jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data labelling in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

What does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
What are the most commonly searched types of Data Labelling jobs in Remote, OR? The most popular types of Data Labelling jobs in Remote, OR are:
What job categories do people searching Data Labelling jobs in Remote, OR look for? The top searched job categories for Data Labelling jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Labelling jobs? Cities near Remote, OR with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $164,855 per year, or $79.3 per hour.

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 18 days ago

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Job description

APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter
We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems.

Requirements:

  • Fluent or native-level Korean
  • Strong attention to detail
  • Reliable internet connection and computer access
  • Ability to follow written instructions
  • Previous AI or data-labeling experience is helpful but not required

This is flexible, remote, project-based work. Task availability and compensation may vary by project, and all details will be shown before you begin.
APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter

Company Description

Total AI is a technology company focused on building high-quality, human-generated datasets that support AI training, evaluation, and research.

Our projects may include voice recordings, language-based tasks, content review, data labeling, and response evaluation. This work helps AI systems better understand different languages, accents, communication styles, and real-world situations. We work with contributors from diverse backgrounds and provide clear instructions for every project.