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Overnight Ai Data Labeling Jobs in Florida (NOW HIRING)

TSMG

AI/ML Data Contributor

Miami, FL

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

RELX

AI Data Analyst

Boca Raton, FL · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

TSMG

AI/ML Data Contributor

Miami, FL

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Miami, FL

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... labeling strategies for training data, ensuring high-quality ground truth datasets for image ...

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Overnight Ai Data Labeling information

What is overnight AI data labeling?

Overnight AI data labeling involves annotating and categorizing data, such as images, videos, or text, during nighttime hours to prepare it for use in training artificial intelligence models. This work typically requires attention to detail and accuracy, as the quality of labeled data directly affects AI performance. Overnight shifts are often used by companies to ensure a continuous workflow and to accelerate project timelines. Data labelers may use specialized tools to tag, classify, or segment data according to specific guidelines provided by clients or employers.

What are the key skills and qualifications needed to thrive as an overnight AI data labeler, and why are they important?

To thrive as an Overnight AI Data Labeler, you need strong attention to detail, accuracy, and the ability to follow complex instructions, often supported by a high school diploma or relevant experience. Familiarity with data labeling platforms, annotation tools, and basic computer applications is typically required. Strong time management, self-motivation, and dependable communication are essential soft skills for working independently during overnight shifts. These skills ensure high-quality, consistent data annotation that directly impacts the performance and reliability of AI models.

What are some common challenges faced by overnight AI data labeling professionals, and how can they be addressed?

Overnight AI data labeling professionals often face challenges such as maintaining focus during late hours, managing screen fatigue, and adapting to fast-paced project requirements. To address these, it's important to establish a consistent sleep schedule, take regular short breaks to rest your eyes, and stay organized by tracking progress against nightly goals. Collaborating with teammates through scheduled check-ins or chat platforms can also help maintain motivation and ensure high-quality results, even during less traditional work hours.

What is the difference between Overnight Ai Data Labeling vs Data Annotation Specialist?

AspectOvernight Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote or flexible hours, often project-basedOffice or remote, depending on employer
Industry UsageCommon in AI and machine learning projectsUsed across AI, healthcare, autonomous vehicles
Search IntentFocus on overnight or flexible schedulingBroader annotation roles, less emphasis on timing

Overnight Ai Data Labeling typically involves quick turnaround tasks with flexible hours, often performed remotely. Data Annotation Specialists may have similar skills but usually work regular hours and may handle more complex annotation tasks. Both roles are essential in AI development, but Overnight Ai Data Labeling emphasizes speed and flexibility, whereas Data Annotation Specialists focus on detailed, accurate labeling across various industries.

What are the most commonly searched types of Ai Data Labeling jobs in Florida?

The most popular types of Ai Data Labeling jobs in Florida are:

What are popular job titles related to Overnight Ai Data Labeling jobs in Florida?

For Overnight Ai Data Labeling jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Overnight Ai Data Labeling jobs in Florida look for?

The top searched job categories for Overnight Ai Data Labeling jobs in Florida are:

What cities in Florida are hiring for Overnight Ai Data Labeling jobs?

Cities in Florida with the most Overnight Ai Data Labeling job openings:

Overnight Ai Data Labeling jobs near you

AI/ML Data Contributor

TSMG

Miami, FL

Full-time

Re-posted 24 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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