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Hourly Remote Data Labeling Jobs in Oregon (NOW HIRING)

CLEAResult

Remote Outbound Sales Specialist

OR · Remote

$18/hr

Compensation Range Currency Type Hourly Any offered salary is determined based on internal equity ... market data/ranges, applicant's skills and prior relevant experience, certain degrees and ...

Care Access

Payroll Analyst

OR · Remote

$32 - $41/hr

This role is responsible for managing the hourly employee payroll population across multiple ... Support data integrity initiatives and system updates under direction of Payroll Manager.

Array

Quality Assurance (QA) Engineer

OR · On-site +1

$75K/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 ...

Cresta

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 ...

Array

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 ...

Musixmatch S.p.a

Senior Sales Executive, MxM Pro

OR · Remote

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

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Hourly Remote Data Labeling information

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

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

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

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Oregon? For Hourly Remote Data Labeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Oregon look for? The top searched job categories for Hourly Remote Data Labeling jobs in Oregon are:
What cities in Oregon are hiring for Hourly Remote Data Labeling jobs? Cities in Oregon with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you

Online Sweepstakes Reviewer (Remote) - Paid Contract Position

Signup Expert

Portland, OR • Remote

Contractor

Re-posted 19 days ago

Job description

Who We Are

Signup Expert is a growth agency that helps brands connect with top-tier people on the ground to grow and scale their businesses through grassroots execution. We specialize in sourcing, training, and managing reliable brand representatives who drive measurable results through hands-on work, local market insight, and direct user engagement.

We are currently hiring on behalf of a leading online sweepstakes review publisher to support ongoing content creation, platform testing, and digital growth initiatives within the iGaming industry.

The Opportunity

Are you interested in writing, digital content, or the fast-growing iGaming industry?

Signup Expert is seeking Online Sweepstakes Reviewers & Content Contributors to support one of our publishing partners by producing high-quality written reviews and evaluating online sweepstakes platforms.

This fully remote, flexible, contract-based role is ideal for individuals who want to:

  • Gain real-world digital publishing experience

  • Build a published content portfolio

What You'll Be Doing

Your responsibilities will include:

  • Testing online sweepstakes registration processes and user journeys

  • Reviewing sign-up flows, KYC requirements, deposit methods, and bonus activation

  • Evaluating platform usability, features, and overall user experience

  • Producing clear, well-structured reviews and editorial content in alignment with standardized templates and guidelines

  • Ensuring all content aligns with regulatory guidelines

  • Documenting findings accurately and submitting deliverables on time

  • Representing Signup Expert and our publishing partners professionally

Who You Are
  • Interested in writing, digital media, or online publishing

  • Curious about online sweepstakes, sports, or the broader iGaming industry

  • A strong written communicator with excellent attention to detail

  • Reliable, organized, and comfortable working independently in a remote setting

  • Willing to follow compliance, responsible gambling, and content guidelines

  • Comfortable conducting online research and learning new platforms

No prior professional experience is required - training and structured guidance will be provided.

Compensation & Benefits

  • Contract / Freelance role with competitive pay (per review or hourly, depending on workload)

  • Performance-based bonus opportunities

  • Fully remote with flexible scheduling

  • Opportunity to build a real, published review portfolio

  • Hands-on experience in a fast-growing global industry

Ready to Join?
We're not just creating reviews - we're helping players make informed decisions in an industry that demands trust and transparency. If you're detail-oriented, curious, and excited to gain experience in creating online content in the iGaming industry, we'd love to hear from you!
 
Posting Notes: Content Writing, Digital Media, Online Publishing, iGaming, Sports Media, Remote Jobs
 
All testing and reviews are conducted following strict responsible standards and applicable regulatory guidelines.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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