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Freelance Data Labelling Jobs in Oregon (NOW HIRING)

Jobs for Humanity

Speakers/Writers

Bend, OR · On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... freelance position compensated on an hourly basis. Please note that this is not an internship ...

Jobs for Humanity

Speakers/Writers

Hillsboro, OR · On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Important Information This is a freelance position compensated on an hourly basis. Please note that ...

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Freelance Data Labelling information

What is freelance data labelling?

Freelance data labelling involves working independently to annotate or tag data, such as images, text, or audio, so that it can be used to train machine learning models. As a freelancer, you may work with different clients or platforms on a project-by-project basis, labeling data according to specific guidelines. This job requires attention to detail, consistency, and sometimes domain-specific knowledge, depending on the project. Freelance data labellers often work remotely and need reliable internet access and a computer. It can be a good entry-level role for those interested in artificial intelligence and machine learning.

What are the typical challenges faced by freelance data labellers, and how can they be effectively managed?

Freelance data labellers often encounter challenges such as repetitive tasks, tight deadlines, and ensuring high accuracy in their work. Managing these challenges involves setting clear work schedules, taking regular breaks to maintain focus, and using quality assurance tools or peer reviews to minimize errors. Additionally, effective communication with clients or project managers helps clarify labeling guidelines and expectations, which can significantly reduce misunderstandings and rework.

How much do data annotation side hustle people make?

Data annotation side hustles typically pay between $5 and $20 per hour, depending on the complexity of the task and the platform used. Earnings can vary based on experience, accuracy, and the volume of work completed, with some freelancers earning a few hundred dollars monthly as they build skills and reputation.

What are the key skills and qualifications needed to thrive as a Freelance Data Labeller, and why are they important?

To thrive as a Freelance Data Labeller, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labelling platforms, annotation tools, and sometimes knowledge of machine learning concepts or specific project guidelines is important. Excellent time management, self-motivation, and the ability to follow instructions carefully are crucial soft skills for this role. These skills ensure high-quality labelled data, which is essential for training reliable AI and machine learning models.

What is the difference between Freelance Data Labelling vs Freelance Data Annotation?

AspectFreelance Data LabellingFreelance Data Annotation
CredentialsBasic understanding of data types, attention to detailSimilar credentials, often overlapping with data labelling skills
Work EnvironmentRemote, project-basedRemote, project-based
Industry UsageUsed across AI, machine learning, and data science projectsUsed in AI, machine learning, and computer vision tasks

Both roles involve preparing data for AI models, with data labelling focusing on categorizing data and data annotation often involving adding detailed labels or annotations. The main difference lies in the scope and type of labels, but they are closely related and often overlap in freelance work.

What is the hourly rate for data labeling?

The hourly rate for freelance data labeling typically ranges from $10 to $25, depending on the complexity of the task, the platform used, and the experience of the labeler. Rates can vary based on project requirements and whether the work is paid per hour or per task completed.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often involving tasks like image, text, or audio tagging. It can provide flexible work schedules and opportunities to develop skills in data management and AI tools, but it typically offers lower pay and limited career advancement without additional training or experience.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many work as freelancers, which allows for flexible schedules but may result in variable income. Some projects pay per label or task rather than hourly.
What are the most commonly searched types of Data Labelling jobs in Oregon? The most popular types of Data Labelling jobs in Oregon are:
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What job categories do people searching Freelance Data Labelling jobs in Oregon look for? The top searched job categories for Freelance Data Labelling jobs in Oregon are:
What cities in Oregon are hiring for Freelance Data Labelling jobs? Cities in Oregon with the most Freelance Data Labelling job openings:
Freelance Data Labelling jobs near you
Infographic showing various Freelance Data Labelling job openings in Oregon as of June 2026, with employment types broken down into 64% Full Time, 7% Part Time, 4% Temporary, and 25% Contract. Highlights an 64% In-person, 4% Hybrid, and 32% Remote job distribution.

Speakers/Writers

Jobs for Humanity

Bend, OR • On-site

$15 - $60/hr

Contractor

Posted 28 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 Korean! This innovative role as an AI Tutor in Native Korean 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 Korean content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in Korean.
Your Day to Day
Evaluate AI-generated writing based on rubrics assessing factuality, completeness, brevity, and grammatical correctness. Review the work of other human writers. Produce top-tier original content in response to prompts. 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 Korean. 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

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