ZipRecruiter

Log In

1

Freelance Data Labeling Jobs in Colorado (NOW HIRING)

Welo Data

English AI Maps Trainer

Keystone, CO · Remote

$20.30/hr

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated ...

New

All JobsData Labeling JobsFreelance Data Labeling JobsFreelance Data Labeling Jobs in Colorado

Freelance Data Labeling information

What is freelance data labeling?

Freelance data labeling involves annotating or tagging data, such as images, text, or audio, to prepare it for use in machine learning and artificial intelligence projects. As a freelancer, you may work with companies or platforms that need large amounts of accurately labeled data to train their algorithms. Tasks can include identifying objects in photos, transcribing audio, or categorizing text. This work is typically remote and flexible, making it suitable for individuals seeking part-time or project-based opportunities.

What are the key skills and qualifications needed to thrive as a freelance data labeler, and why are they important?

To thrive as a Freelance Data Labeler, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and sometimes knowledge of basic coding or spreadsheet software is beneficial. Reliability, time management, and effective communication are crucial soft skills for meeting deadlines and collaborating with remote teams or clients. These skills ensure the accurate and efficient preparation of high-quality labeled data, which is essential for training reliable machine learning models.

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

Freelance data labelers often encounter challenges such as repetitive tasks, tight deadlines, and varying quality standards between clients. Managing these challenges involves maintaining clear communication with clients about expectations, using productivity tools to track progress, and regularly reviewing guidelines to ensure accuracy. Additionally, taking short breaks and organizing tasks can help prevent fatigue and maintain high-quality output. Building a network with other labelers can also provide support and tips for handling complex projects.

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

AspectFreelance Data LabelingData Annotation Specialist
CredentialsNo formal credentials required; experience and skills matterOften requires knowledge of annotation tools and sometimes certifications
Work EnvironmentRemote, flexible, project-basedTypically employed by companies, may work remotely or on-site
Employer & Industry UsageFreelance platforms, AI and machine learning projectsTech companies, research institutions, AI firms

Freelance Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and diverse projects. Data Annotation Specialists are often employed by organizations to perform detailed annotation work, sometimes requiring specific certifications. Both roles support AI development but differ mainly in employment structure and credentials.

What are the most commonly searched types of Data Labeling jobs in Colorado?

The most popular types of Data Labeling jobs in Colorado are:

What are popular job titles related to Freelance Data Labeling jobs in Colorado?

For Freelance Data Labeling jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Freelance Data Labeling jobs in Colorado look for?

The top searched job categories for Freelance Data Labeling jobs in Colorado are:

Freelance Data Labeling jobs near you
Infographic showing various Freelance Data Labeling job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Spanish Gen AI Trainer

Welo Data

Almont, CO • Remote

Part-time

Posted 11 days ago

Job description

What if your knowledge Spanish language could help improve the AI.  
   

WHAT YOU’LL DO  

  • Review, evaluate, and validate AI-generated content and data according to project guidelines.
  • Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
  • Identify errors, inconsistencies, omissions, and quality issues.
  • Annotate, categorize, or label text, audio, images, video, or other data where required.
  • Provide clear written feedback or justifications for your evaluations.
  • Complete assigned tasks independently and within established timelines.
  • Follow project and client guidelines consistently and maintain a high level of accuracy.
  • Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
     

YOU ARE A FIT IF YOU’RE…  

  • A native or near-native Spanish speaker
  • Detail-oriented with strong written language skills 
     

PROJECT DETAILS  

  • Job Title: Generative AI Analyst - Spanish (US) 
  • Location: Fully remote in United States with complete schedule flexibility  
  • Employment Type: Freelance
  • Pay Rate: 15 USD/per hour

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.