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Hourly Remote Data Labeling Jobs in Connecticut (NOW HIRING)

Imh

Clinical Pharmacist

Bridgeport, CT · On-site +1

$62.89 - $92.44/hr

Ongoing need for employee to see and read information, labels, documents, monitors, identify ... Actual hourly rate dependent upon experience. $62.89 - $92.44 We care about your well-being - mind ...

BerryDunn

Proposal Coordinator

Hamden, CT · On-site +1

$26 - $30/hr

This position may be based in Portland, Maine, one of our other office locations, or remote in ... Maintain accurate and timely opportunity, pursuit, and proposal data in Salesforce and support ...

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

Quality Manager, Data & Insights Analytics

CVS Health

Farmington, CT • Remote

$60K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,329 frontline employees who took The Breakroom Quiz

88th of 111 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

  • 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

  • 5 years of experience, Medicare sales, including Medicare Advantage, Medicare Supplement and Part D plans.

  • 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 - $159,120.00

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: 08/15/2026

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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