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Hourly Remote Data Annotation Jobs in Detroit, MI

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Annotation Specialist, and why are they important?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

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

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Detroit, MI? The most popular types of Remote Data Annotation jobs in Detroit, MI are:
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What cities near Detroit, MI are hiring for Hourly Remote Data Annotation jobs? Cities near Detroit, MI with the most Hourly Remote Data Annotation job openings:
Hourly Remote Data Annotation jobs near you
Infographic showing various Hourly Remote Data Annotation job openings in Detroit, MI as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.
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 yesterday

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