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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, and why are they important?

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 labeling professionals, 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 Ohio? For Hourly Remote Data Labeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Ohio look for? The top searched job categories for Hourly Remote Data Labeling jobs in Ohio are:
What cities in Ohio are hiring for Hourly Remote Data Labeling jobs? Cities in Ohio with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Outbound Sales Representatives

Outbound Sales Representatives

SP Data Digital

Cleveland, OH • Remote

$15/hr

Full-time

Re-posted 5 days ago

Job description

Pay: $15 USD/hour + Uncapped Commission

Paid Training | Full-Time | 100% Remote (U.S. Only)

Are you a strong communicator who enjoys connecting with people and helping them find better solutions? If you’re motivated, goal-oriented, and interested in building your sales skills, this could be a great fit.

We’re looking for outbound sales representatives to introduce homeowners to faster, more affordable internet options—while building valuable sales experience in a supportive, remote environment.

What You’ll Do:
  • Make outbound residential calls to potential customers
  • Connect with non-customers in areas with limited or unsatisfactory internet service
  • Present solutions focused on improved speed and cost savings
  • Use confirmed address data to engage qualified prospects
  • Identify customer needs and recommend the best available option
  • Work toward individual sales targets while maintaining a positive customer experience
What We’re Looking For:
  • Previous outbound sales or call center experience is an asset, but not required
  • Comfortable speaking with customers and building rapport over the phone
  • Motivated by goals and opportunities to earn commission
  • Resilient and able to navigate objections in a professional manner
  • Strong communication and listening skills
  • Must be living in and legally authorized to work in the United States
Technical Requirements (Bring Your Own Device):

This is a bring-your-own-device (BYOD) role. Your system must meet the following:

  • Operating System: Windows 11 (Apple devices and Chromebooks are not compatible)
  • Hardware: Minimum 16 GB RAM and Intel i5 processor (10th generation or newer)
  • Internet: Reliable connection with at least 30 Mbps download / 8 Mbps upload
  • Connectivity: Ability to work with a wired Ethernet connection
  • Equipment: Webcam and USB headset required
Why Join Us:
  • Hourly base pay of $15 USD plus uncapped commission
  • Paid online training and ongoing support
  • Fully remote, full-time opportunity
  • A team-focused environment with opportunities to grow
  • Employee sponsored benefits

If you’re looking for a stable remote role where you can develop sales skills and increase your earning potential, we encourage you to apply.

SP Data Digital is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and do not discriminate based on any protected status.

We use artificial intelligence or automated tools to process Personal Data or make decisions, some of Our clients may choose to use third-party tools as part of their own decision-making processes. These tools may involve automated processing of Your Personal Data, such as for screening or scoring job applications.

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