ZipRecruiter

Log In

2

Data Labeler Remote Jobs in Florida (NOW HIRING)

PNC Bank

Head of Sales, Linga

Naples, FL · On-site +1

... white-label partners), and expansion of the existing customer base. Reporting directly to the ... Use data-driven insights to continuously optimize performance across all channels. Maintain ...

Maximus

Records & Document Control Specialist

Tampa, FL · Remote

... data-driven decision-making, and equitable outcomes. In this role, you will support records and ... This is a remote position. Please note that this position is contingent upon bid award. Essential ...

Maximus

Records & Document Control Specialist

Miami, FL · Remote

... data-driven decision-making, and equitable outcomes. In this role, you will support records and ... This is a remote position. Please note that this position is contingent upon bid award. Essential ...

next page

Showing results 1-20

People also search for

All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Florida

Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are the most commonly searched types of Data Labeler jobs in Florida? The most popular types of Data Labeler jobs in Florida are:
What are popular job titles related to Data Labeler Remote jobs in Florida? For Data Labeler Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Florida look for? The top searched job categories for Data Labeler Remote jobs in Florida are:
What cities in Florida are hiring for Data Labeler Remote jobs? Cities in Florida with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Spanish Search Quality Rater - (USA)

Jobs for Humanity

Miami, FL • Remote

Part-time

Re-posted 9 days ago

Job description

Company Description

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

  • ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
  • ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
  • DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
  • RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

Job Description

OVERVIEW

Welocalize is an award-winning localization and data transformation company. We are currently building one of the world's largest Internet Rating Programs and want you to join!  

As a Spanish Search Quality Rater, you will review and grade internet content to help online engines work better. In other words, you'll tell the engine how good or bad it is performing based on user keywords.  

You will complete tasks in Spanish.

This role is great for people who:  

  • Surf the internet daily  
  • Use major search engines frequently  
  • Know what people want based on a few keywords  
  • Enjoy researching topics online  

Project Details

  • Job Title: Search Quality Rater
  • Location: US-based, Remote/home office/work from home - Note: Even though the position is remote, you must reside in the country that is noted in this description. This will be automatically checked during the hiring process. 
  • Hours: Minimum 10 hours per week, up to 29 hours per week; set your own schedule
  • Start date: ASAP
  • Employment Type: W2 Part-Time Employee, payment every 2 weeks
  • Longevity of project: 12 months (with possibility of extension).

This work is based on project needs. Weekly hours may vary.

Currently hiring in: Alabama, Florida, Georgia, Indiana, Kansas, Kentucky ,Missouri ,Montana, New Hampshire, North Carolina, Ohio, Oklahoma, Pennsylvania ,South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin.

Applicants must be of at least 18 years of age to apply.

Qualifications
  • Fluent in both Spanish and English (written and spoken)  
  • Strong understanding of pop culture in the target locale  
  • Reliable computer system and internet connection  
  • Familiar understanding of how to use online search engines  
  • Sign a standard Non-Disclosure Agreement and Service Level Agreement 
Additional Information

Hiring Process & Steps 

Welocalize is committed to an inclusive and equitable hiring process. All applicants must complete the following hiring steps to be eligible for this project: 

  1. Candidate Application 
  2. Welocalize Review Application 
  3. Candidate Learning, Assessment, and Qualification 
  4. Welocalize Client Review 
  5. Final Approval 

The hiring process can take up to 14 days to complete. 

When You Join Welo Data...

Welo Data is an award-winning data transformation company with offices across the world. We've quietly worked on some of the biggest tech projects in history, from data localization and translation to generative AI and deep learning.

When you join Welo Data, you'll have the opportunity to bring your career to the next level:

  • Structured learning opportunities that grow your skills, knowledge, and specialties
  • 24-hour, 6-day-a-week real human support from our Community Experience Team
  • Access to long-term partnerships and unique projects across a variety of industries and content types
  • Corporate and executive career opportunities to bolster your resume and grow your career

We are beyond proud to serve our clients, our employees, and the end-users of all the projects we work on. We hope you will join us on this journey into the future.

Apply