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Remote Data Annotation Analyst Jobs in Florida (NOW HIRING)

Data Annotation

$50 - $60/hr

Join our team to help train the next generation of AI while enjoying the flexibility of remote work ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Data Annotation Analyst information

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Analyst, and why are they important?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Florida? The most popular types of Data Annotation Analyst jobs in Florida are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Florida? For Remote Data Annotation Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Florida look for? The top searched job categories for Remote Data Annotation Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Data Annotation Analyst jobs? Cities in Florida with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Florida as of June 2026, with employment types broken down into 2% As Needed, 58% Full Time, and 40% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Hmong Daw Linguistic Projects (Remote)

Hmong Daw Linguistic Projects (Remote)

Sigma Group

Miami, FL • On-site, Remote

Temporary

Posted 23 days ago

Job description

Join Sigma.AI - Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value
Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
What Will You Do?
As part of our linguistic projects, your responsibilities may include:
Categorization - Annotation - Correction - Transcription - Evaluation - Conversational interactions - Voice recording - Content creation - Localization - Validation of audio, video, images, sentences, or words.
All tasks are remote, performed through an online platform available 24/7.
This opportunity is offered for freelancers under a commercial contract.
• Requirements
We are looking for candidates with the following qualifications:
  • Fluent in Hmong Daw - Able to listen and write correctly without spelling mistakes
  • Fluent in English - Able to listen and write correctly without spelling mistakes
  • Basic computer skills

Preferred (but not mandatory):
  • Experience in data annotation or content rating
  • Strong attention to detail

Technical Requirements
To participate in our projects, you will need:
Computer:
  • Minimum 4GB RAM
  • Microphone and webcam
  • Operating system:
    • Windows 10 or higher
    • macOS 13 Ventura or higher
  • All OS updates installed and supported by the vendor

Connectivity & Accessories:
  • Stable internet connection
  • Headphones
  • Secure internet location, protected by a strong password

For audio-collection projects only:
  • Mobile phone with Android OS

Tablets and iOS devices are not supported
How to Apply
If you're interested, click "APPLY FOR THIS JOB" and follow the instructions.
After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.
Check your inbox and spam folder, just in case!
Important Notes
  • Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
  • The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

Need Help?
We're here for any questions or concerns.
Join us and be part of something global, innovative, and impactful.
Sigma.AI - Data done right.
Department Annotation & Translation Locations Miami, United States, United Kingdom, China Remote status Fully Remote Employment type Temporary

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