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Data Labeler Remote Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · On-site +1

$80/hr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Senior Software Engineer, White Label Platform

OR · On-site +1

$122K - $161K/yr

Familiarity with database technologies such as SQL and data warehousing solutions * Good ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Associate Conversational AI Designer

OR · On-site +1

$60K - $95K/yr

... Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may ... Define labeling guidelines to be used to train conversational AI models, and assist with labeling ...

Senior Product Manager

OR · On-site +1

$80 - $100/hr

Our white label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Proactively engage prospective clients across labels, distributors, social media platforms, music ... Present Musixmatch products and services consultatively, articulating a world-class data and ...

FP&A Analyst

OR · On-site +1

$120K/yr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

IT Specialist

OR · On-site +1

$70K/yr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Account Manager

OR · On-site +1

$120K/yr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Remote (United States) Department: Pharmacovigilance Reports To: Global Head of Pharmacovigilance ... Review and interpret clinical trial and post-marketing safety data. * Perform benefit-risk analyses ...

Account Executive, Partnerships

OR · On-site +1

$100K/yr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

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Data Labeler Remote information

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

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 Remote jobs in Oregon? For Data Labeler Remote jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Data Labeler Remote job openings in Oregon as of August 2026, with employment types broken down into 54% Full Time, 31% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.

Senior Data Analyst

Array

OR • On-site, Remote

$80/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we're focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will likely report to the CEO or Data Lead and focus their work with the product data team.

This role will leverage a 2 day paid interview technical assignment as a part of the hiring process. For candidates that do well during the paid interview, we will consider moving to a 180 day contract or probationary period.

You Will:

  • Trace issues back through data pipelines or code to uncover why something isn't behaving as expected.
  • Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent similar issues.
  • Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
  • Help build a culture of technical curiosity - where asking why and testing assumptions is part of every release.
  • Leverage AI tools to think, build, and ship faster.

You Have:

  • A curiosity about how systems, code, and data work; a knack to pull things apart and see what's really happening under the hood.
  • Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API outputs to validate what's flowing through the system.
  • Comfortable reading and reasoning about someone else's code, identifying where things might be slowing down.
  • The ability to turn ambiguous problems into clear next steps - you chase root causes.
  • A mindset that values being less wrong each time - you approach analysis with humility, rigor, and a desire to continuously improve.
  • Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates.
  • A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.

Pay Transparency: $300 a day for the paid interview. $80/hr for the 180 day contract period. 

Expected Interview Process: Recruiter conversation - Paid Interview test (2 days) - Loop: meet the lead data analyst, How We Work Interview. 

Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time): 

  • Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
  • Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
  • 100% 401k match up to 4% with immediate vesting
  • Generous and competitive parental leave for all parents
  • $1,000 desk setup subsidy to set-up your unique remote office
  • $100/month to subsidize wifi/cell phone expenses
  • Summer Fridays (half-day Fridays) typically from late May to the end of August
  • Commuter benefits for those who choose to go into our New York City or San Francisco office spaces

Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don't meet every single one, we encourage you to still apply. We'd love to hear from you.

We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants-if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.

Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR's Privacy Notice and Terms of Use to understand how your personal data will be processed.