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Hourly Remote Data Labeling Jobs in Michigan (NOW HIRING)

First American

$20.34 - $27.12/hr

Reviews and validates the accuracy of data contained within order requests, production reports ... This is a remote job opportunity. #LI-DS1 #LI-REMOTE Pay Range: $20.34 - $27.12 Hourly, Remote This ...

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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 Michigan? For Hourly Remote Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Michigan look for? The top searched job categories for Hourly Remote Data Labeling jobs in Michigan are:
What cities in Michigan are hiring for Hourly Remote Data Labeling jobs? Cities in Michigan with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Full-Time STS Clinical Data Abstractor (Hourly) Non-Exempt

Full-Time STS Clinical Data Abstractor (Hourly) Non-Exempt

Carta Healthcare

Detroit, MI • Remote

$32/hr

Full-time

Medical, PTO

Posted 18 days ago

Job description

Join Our Team as a Full-Time STS Clinical Data Abstractor (Hourly) at Carta Healthcare!

Company: Carta Healthcare Inc.
Position: Clinical Data Abstractor
Location: 100% Remote (Hourly Position) Non-Exempt

Are you experienced in clinical data abstraction?

Carta Healthcare Inc. is seeking talented individuals to join our growing team as Full-Time Clinical Data Abstractors!

Join our team at Carta Healthcare, where we offer opportunities for experienced clinical data abstractors. We offer a flexible work schedule that allows for a balanced work-life experience.

About Us:

At Carta Healthcare, we are revolutionizing the way healthcare data is managed and used with innovative software solutions.

Position Overview:

As a Full-Time Clinical Data Abstractor, you will be responsible for abstracting and coding patient information from medical records to meet the requirements of various target registries.

What We're Looking For:
  • Minimum of 1 year of recent clinical data abstraction experience
  • Proficiency with EMR systems
  • Maintain a 98% or higher IRR score
  • Previous remote work experience preferred
  • Available for a minimum of 60 abstraction hours monthly
Why Join Us?
  • Full-time, hourly, non-exempt
  • $32.00 Hourly
  • 40 hours per week, Monday-Friday
  • Overtime: Available as approved by management
  • 100% remote
  • Laptop provided for Carta abstraction
  • Paid Time Off: 2 Weeks (80 hours) paid vacation annually
  • Employment Type: W2 employee, benefits-eligible
  • Health Benefits: Additional details will be shared during the hiring process
  • Paid Holidays: "Full-time hourly employees receive six paid holidays per year: New Year's Day, Memorial Day, Independence Day, Labor Day, Thanksgiving, and Christmas Day, paid at their regular hourly rate.
  • Sick Leave: Per state/company policy

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All applicants are required to reside within the continental United States.

Carta Healthcare is dedicated to building a diverse and inclusive company because we serve health systems across the country; we've seen how our product and impact are strengthened the more we reflect that diversity. In addition, we have found and strongly believe that diverse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer.

#LI-Remote #BI-Remote