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Annotation Labelling Jobs in Florida (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Establish best practices for annotation quality management, training data curation, active learning ... labeling, named entity recognition, and semantic analysis with familiarity with additional computer ...

Establish best practices for annotation quality management, training data curation, active learning ... labeling, named entity recognition, and semantic analysis with familiarity with additional computer ...

Establish best practices for annotation quality management, training data curation, active learning ... labeling, named entity recognition, and semantic analysis with familiarity with additional computer ...

Establish robust MLOps practices and annotation workflows, including model versioning, automated ... Proficiency in transformer-based NLP models for text categorization, sequence labeling, named ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Florida? For Annotation Labelling jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Annotation Labelling jobs? Cities in Florida with the most Annotation Labelling job openings:

Spanish Search Quality Rater - (USA)

Jobs for Humanity

Miami, FL • Remote

Part-time

Posted 11 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.