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Part Time Ai Data Annotation 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 ...

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All JobsAi Data Annotation JobsPart Time Ai Data Annotation JobsPart Time Ai Data Annotation Jobs in Florida

Part Time Ai Data Annotation information

How much do AI data annotators make?

AI data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are freelance or part-time, often requiring basic computer skills and attention to detail.

What is the difference between Part Time Ai Data Annotation vs Data Labeler?

AspectPart Time Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Search IntentPart Time Ai Data Annotation vs Data Labeler

Part Time Ai Data Annotation involves labeling data specifically for training AI models, often requiring understanding of data types like images, text, or audio. Data Labelers perform similar tasks but may have broader roles in data categorization. Both roles are similar in credentials and work environment, primarily serving AI and tech industries. The main difference lies in terminology and specific job descriptions, but they often overlap in responsibilities and skills.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Many roles require no formal degree, but familiarity with annotation tools and understanding of data labeling standards are helpful. Some employers may prefer candidates with experience in machine learning or related fields, and the work often involves flexible, part-time schedules.

What are the key skills and qualifications needed to thrive as a Part Time AI Data Annotation specialist, and why are they important?

To thrive as a Part Time AI Data Annotation specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with annotation platforms, data labeling tools, and sometimes workflow management systems is important for efficiency. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills ensure high-quality, accurate labeled data, which is critical for training effective AI models.

What is a Part Time AI Data Annotation job?

A Part Time AI Data Annotation job involves labeling, categorizing, or tagging data—such as images, text, or audio—to help train artificial intelligence and machine learning models. Annotators review raw data and apply guidelines to ensure AI systems learn to recognize patterns accurately. These roles are often flexible, can be done remotely, and require attention to detail and consistency. It's a great entry-level position for those interested in AI and technology, even without a technical background.

What are some common challenges faced by part-time AI data annotators, and how can they be managed?

Part-time AI data annotators often encounter challenges such as maintaining accuracy while working with repetitive tasks and managing time effectively alongside other commitments. Annotators may also face ambiguity in data or unclear labeling instructions. To address these challenges, it's important to ask clarifying questions, take regular breaks to maintain focus, and stay updated on annotation guidelines. Many teams provide support channels and regular training sessions to help annotators improve their skills and ensure consistency.

Is it hard to get hired for data annotation?

Getting hired for a part-time AI data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering flexible schedules and minimal formal requirements, making it accessible for beginners.

How can I make $2000 a week working from home?

Part Time AI Data Annotation jobs can contribute to earning income from home, but making $2000 weekly typically requires working multiple hours or combining several projects. Success depends on the pay rate per annotation, efficiency, and available workload, with some annotators earning higher rates through specialized skills or platforms that pay per task. Consistent effort, quality work, and familiarity with annotation tools can help increase earnings, but reaching $2000 weekly may be challenging on a part-time basis alone.
What are the most commonly searched types of Ai Data Annotation jobs in Florida? The most popular types of Ai Data Annotation jobs in Florida are:
What are popular job titles related to Part Time Ai Data Annotation jobs in Florida? For Part Time Ai Data Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Annotation jobs in Florida look for? The top searched job categories for Part Time Ai Data Annotation jobs in Florida are:
What cities in Florida are hiring for Part Time Ai Data Annotation jobs? Cities in Florida with the most Part Time Ai Data Annotation job openings:
Part Time Ai Data Annotation jobs near you
Infographic showing various Part Time Ai Data Annotation job openings in Florida as of June 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

AI/ML Data Contributor

TSMG

Miami, FL

Part-time

Posted 20 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. 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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