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Freelance Data Labeler 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 ...

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Freelance Data Labeler information

What is a freelance data labeler?

Freelance data labelers are independent contractors who annotate, categorize, or tag data—such as images, text, or audio—to help train artificial intelligence and machine learning models. They work remotely and are often hired by companies or platforms on a project basis. Their work is essential for ensuring that AI systems learn from accurately labeled and organized datasets. As freelancers, they have flexibility in choosing projects and setting their schedules, but are typically paid per task or per project.

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

To thrive as a Freelance Data Labeler, you need keen attention to detail, basic data management skills, and familiarity with guidelines for labeling or annotating data, usually supported by a high school diploma or equivalent. Experience with data annotation platforms (like Labelbox, Scale AI, or Amazon SageMaker Ground Truth) and understanding of file formats such as CSV or JSON are often required. Strong time management, reliability, and clear communication skills help freelancers deliver consistent and accurate results while meeting deadlines. These competencies ensure that labeled data is high-quality and trustworthy for training AI and machine learning models.

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

Freelance data labelers often encounter challenges such as repetitive tasks, tight deadlines, and quality expectations from clients. To manage these effectively, it's important to establish a structured workflow, take regular breaks to reduce fatigue, and communicate proactively with clients about project requirements. Building expertise in various labeling tools and staying updated on industry standards can also help improve efficiency and accuracy. Additionally, joining online communities can provide support and insights into best practices.

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

AspectFreelance Data LabelerData Annotator
CredentialsBasic computer skills, attention to detailSimilar credentials, often no formal certification needed
Work EnvironmentRemote, flexible freelance setupRemote or in-house, depending on employer
Industry UsageFreelance platforms, AI companiesTech companies, AI, and machine learning firms
Search & Comparison IntentHigh overlap, both involve labeling data for AI training

Freelance Data Labelers and Data Annotators perform similar tasks involving labeling data for AI models. The main difference lies in their employment setup: Freelance Data Labelers typically work independently on projects from various clients, offering flexibility, while Data Annotators may work for specific companies or in-house teams. Both roles require attention to detail and basic technical skills, making them closely related in the AI data preparation industry.

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

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

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

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

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

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

What cities in Colorado are hiring for Freelance Data Labeler jobs?

Cities in Colorado with the most Freelance Data Labeler job openings:

Freelance Data Labeler jobs near you
Infographic showing various Freelance Data Labeler job openings in Colorado as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

Spanish Gen AI Trainer

Welo Data

Almont, CO • Remote

Part-time

Posted 19 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.