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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 Connecticut? The most popular types of Remote Data Annotation jobs in Connecticut are:
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Hourly Remote Data Annotation jobs near you
Quality Manager, Data & Insights Analytics

Quality Manager, Data & Insights Analytics

CVS Health

Hartford, CT • Remote

$60K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,316 frontline employees who took The Breakroom Quiz

87th of 109 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

As a Quality Manager, Data & Insights Analytics for Aetna, you will be responsible for transforming raw data into actionable insights that support strategic decision-making across all Direct-to-Consumer (DTC) channels, including Telesales, field service representatives and member experience. You'll lead the development and delivery of reporting solutions, quality performance dashboards, and analytics tied to agent behavior, quality trends and process opportunities.

You will collaborate cross-functionally with Quality Assurance, Compliance, Operations and Vendor Management teams to ensure the integrity of quality data and the effective use of metrics to drive performance improvement. You'll plan a key role in supporting vendor oversight, internal reporting and the evolution of quality monitoring by integrating data tools and innovation into quality operations. For this role you'll need strong analytical expertise, system fluency and a deep understanding of Medicare sales processes.
Required Qualifications

  • Minimum of 5 years of experience, Medicare sales, including Medicare Advantage, Medicare Supplement and Part D plans.
  • Experience/proficiency with CRM systems, including SPICE and ThinkAgent, with experience training on these platforms.
  • Strong data and technical skills, including proficiency in Microsoft Excel (advanced functions such as Power Query, with working knowledge of SQL.
  • Experience with NICE CXone platform including reporting, interaction analytics, and quality management modules.


Preferred Qualifications

  • Active and current health insurance license.
  • 5 years of Telesales and call center experience.
  • Experience designing and launching applications or tools using platforms like QuickBase.
  • Strong understanding of Medicare compliance requirements and quality assurance processes.
  • Proven ability to work independently in a remote environment while collaborating across multiple teams.


Education

  • Bachelor's degree in Communications, Business, Data Analytics or equivalent experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$60,300.00 - $145,860.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/01/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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