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Flexible Data Annotation Analyst Jobs in Connecticut

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on experience) Company: LT Apparel Group About the Role LT Apparel Group is hiring a remote Data Analyst to ...

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Flexible Data Annotation Analyst information

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

What are the most commonly searched types of Data Annotation Analyst jobs in Connecticut?

The most popular types of Data Annotation Analyst jobs in Connecticut are:

What are popular job titles related to Flexible Data Annotation Analyst jobs in Connecticut?

For Flexible Data Annotation Analyst jobs in Connecticut, the most frequently searched job titles are:

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The top searched job categories for Flexible Data Annotation Analyst jobs in Connecticut are:

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Flexible Data Annotation Analyst jobs near you

Data Analyst

LT Apparel Group

Milford, CT • Remote

$22 - $28/hr

Part-time

Posted 13 days ago

Job description

Location: Remote (U.S. Based Preferred)
Job Type: Part-Time (Flexible Hours)
Pay: $22–$28 per hour (based on experience)
Company: LT Apparel Group

About the Role
LT Apparel Group is hiring a remote Data Analyst to support our growing data and reporting needs. You’ll manage and maintain master data, develop meaningful reports, and help ensure data accuracy across the company. If you're detail-oriented, proactive, and love turning numbers into insights, we want to hear from you.

What You’ll Do
Maintain and manage master data (create, update, delete)
Ensure high-quality data imports and provide QA support
Build and design reports and dashboards
Manage user access, roles, and metadata
Support data warehouse and reporting system enhancements
Troubleshoot data issues and reporting errors
Provide insight for business decisions through clean, reliable data
Collaborate with teams on new system implementations and upgrades

What We’re Looking For
Previous experience in a data analyst role (or similar)
Strong skills in Excel, SQL, and reporting tools (Power BI, Tableau, etc.)
A sharp eye for detail and accuracy
Excellent organizational and communication skills
Ability to work independently and meet deadlines in a remote environment

Compensation:
Part-time role starting at $22–$28/hr, depending on experience.
Ready to join our data-driven team? Apply today and help us turn data into results.

Apply