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Data Labelling Jobs in Portland, OR (NOW HIRING)

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business ...

This role focuses on planting, labeling, tracking, and caring for trial plants while ensuring accurate data collection, inventory management, and overall site organization. The position works closely ...

Phlebotomist II

Newberg, OR · On-site

$23 - $24/hr

Experience doing blood draws, labeling specimens, centrifuging specimens, recording maintenance data and decontamination, updating patient information, etc. * Collects and stores specimens according ...

Phlebotomist II

Newberg, OR · On-site

$23 - $24/hr

Experience doing blood draws, labeling specimens, centrifuging specimens, recording maintenance data and decontamination, updating patient information, etc. * Collects and stores specimens according ...

Phlebotomist II - Newberg

Newberg, OR

$17.75 - $22.25/hr

You will greet patients, perform blood draws and other specimen collections, process and label samples, and support accurate documentation and data entry. The role combines technical phlebotomy ...

Phlebotomist II - SE PDX

Clackamas, OR · On-site

$18 - $22.25/hr

... data entry. The position combines hands-on phlebotomy, customer service, and basic laboratory ... Label, centrifuge, split, and freeze specimens as required by specific test orders and protocols.

Phlebotomist II - Newberg

Newberg, OR

$17.75 - $22.25/hr

... and data entry. The position requires strong technical phlebotomy skills, excellent customer ... Label specimens accurately, centrifuge, split, and freeze samples as required by specific test ...

Enter patient and prescription data into the computer system to generate labels. * Participate in pharmacy inventory management, including checking stock and removing expired medications.

Pharmacy Technician

Vancouver, WA · On-site

$22.50 - $24/hr

Enter patient and prescription data into the computer system to generate labels. * Participate in pharmacy inventory management, including checking stock and removing expired medications. * Handle ...

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Showing results 1-20

Data Labelling information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data labelling jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data labelling in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 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 Portland, OR? The most popular types of Data Labelling jobs in Portland, OR are:
What are popular job titles related to Data Labelling jobs in Portland, OR? For Data Labelling jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Portland, OR look for? The top searched job categories for Data Labelling jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Labelling jobs? Cities near Portland, OR with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.

$15 - $60/hr

Part-time

Re-posted 26 days ago


Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Unclassified to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Unclassified
Job Description

Job Description: Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly. Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role

Shape the future of AI in the Arabic language! This innovative role as an AI Trainer - Arabic offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in the Arabic language.


About the Role

Shape the future of AI in the Arabic language. This innovative role as an AI Tutor - Arabic offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in the Arabic language.


Your Day to Day

Educate AI: Analyze and provide feedback on AI-generated outputs related to the Arabic language. Your guidance will directly improve the AI's accuracy and ability to apply its knowledge to real-world problems. Problem Solving: Using your expertise, you will provide step-by-step solutions and explanations to complex problems in Arabic. This could include checking punctuation, spelling and grammar, and/or creative writing. Your input will be crucial in teaching the AI how to reason through these problems effectively. Red Teaming: Utilize your deep understanding of the field to identify potential biases, limitations, or inaccuracies in the AI's knowledge base. Design and conduct tests that push the boundaries of the model's understanding, ensuring its outputs are reliable and applicable to real-world scenarios. You create your own working hours depending on project length.


About You

Enrolled in or have completed an Associates' degree or higher from an accredited institution. Native-level proficiency in the Arabic language. Possess a strong writing style with excellent English-language spelling and grammar skills. Have a critical eye and the ability to clearly articulate the strengths and weaknesses of written text. Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles. Interest in AI and machine learning concepts.


Important Information

This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.


Pay Range (rate per hour) $15 - $60 USD