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Data Annotation Tech Remote Jobs in Florida (NOW HIRING)

ClinDCast LLC

Lead Data Architect

Delray Beach, FL · Remote

$65 - $70/hr

Lead Data Architect (Healthcare) Remote We are looking for a Lead Data Architect with 15+ years of ... technologies. Candidates must have expertise in Azure (VMs, Databricks, Kubernetes), cloud ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS LOOKS LIKE: * All reports ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS LOOKS LIKE: * All reports ...

Co-op Solutions

Data Architect - REMOTE

Tallahassee, FL · Remote

$110.10K - $143.10K/yr

Follows and advises on industry standards and advances on data driven technologies and tools. * Designs, implements, and updates best practices for the data development team. * Represents project ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud ...

BravoTech

Senior Data Engineer - REMOTE

Sunrise, FL · On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our ... Serve as a subject matter expert on data engineering technologies, including Databricks, Airflow ...

Carports Anywhere

IT Specialist

Starke, FL · On-site +1

Flexible schedule Job Title : Remote IT Support Specialist Position Type : Part-Time, Remote ... Ensure data security and resolve any related concerns. * Collaborate with internal teams to ...

Lakeview Loan Servicing

Data Protection Engineer

Coral Gables, FL · On-site +1

$109.50K - $131.50K/yr

The DPE works closely with IT Security, Compliance, Legal, and business stakeholders to translate ... This role can be remote anywhere in the country. The salary range for this role is $130,000 to $175 ...

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Data Annotation Tech Remote information

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

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are popular job titles related to Data Annotation Tech Remote jobs in Florida? For Data Annotation Tech Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Florida look for? The top searched job categories for Data Annotation Tech Remote jobs in Florida are:
What cities in Florida are hiring for Data Annotation Tech Remote jobs? Cities in Florida with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Florida as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.
Hmong Daw Linguistic Projects (Remote)

Hmong Daw Linguistic Projects (Remote)

Sigma Group

Miami, FL • On-site, Remote

Temporary

Posted 13 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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