Talantix.io
TELUS Digital•20.02.26
AI SCORE 7.5

AI Data Annotation Specialist - Remote

$30K–$50K/year
RemoteAI/Big Data
Data Annotation•Machine Learning•Data Labeling•English

About the Role

We’re hiring an AI Data Annotation Specialist - Remote to help shape the future of AI! This role is perfect for detail-oriented freelancers looking to join a global AI data annotation project. As an AI Data Annotation Specialist, you’ll annotate, label, and curate data that powers advanced machine learning models.

What You'll Do

  • Annotate & Label: Tag, categorize, and review text, images, and documents.
  • Collect Data: Gather and organize high-quality datasets for AI training.
  • Ensure Quality: Review and validate data for precision and consistency.
  • Collaborate Globally: Work with an international team to hit project milestones.
  • Work Flexibly: Choose to work up to 10 hours per day, 40 hours per week—on your schedule.

Requirements

  • Strong attention to detail and ability to follow precise instructions.
  • Reliable internet connection and ability to work independently.
  • Prior experience in data annotation or labeling is a plus but not required.
  • Basic understanding of AI or machine learning concepts is advantageous.
  • Strong proficiency in English for clear communication and reporting.

Nice to Have

  • Experience with data annotation tools.
  • Familiarity with machine learning concepts.
  • Previous freelance experience.

What We Offer

  • Earn extra income.
  • Access to our community wellbeing initiative.
  • Remote work & location independence.
  • Be your own boss.
  • Flexible hours to fit in with your lifestyle.
  • Be a part of an online community.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job7.5 of 10

This remote role as an AI Data Annotation Specialist offers flexibility and the opportunity to work on impactful AI projects. Ideal for detail-oriented individuals looking for freelance work.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Strong attention to detail and accuracy in data annotation, especially with tools like Labelbox or Prodigy, to ensure high-quality machine learning datasets.

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Self-motivated and disciplined work ethic suitable for remote work, able to manage time effectively and meet deadlines while working independently.

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Basic understanding of machine learning concepts and terminology, with a willingness to learn and adapt to new technologies and frameworks in the AI space.

Learning Resources

→Data Annotation Guidearticle
→Machine Learning Foundations: A Case Study Approachcourse
→Understanding Data Annotation for Machine Learningarticle

Career Path

AI Data Annotation Specialist - Remote(Now)→Machine Learning Data Analyst(1-2 years)→AI Model Trainer/Engineer(3-5 years)

Market Overview

Market Size 2024
$1.2B
Annual Growth
27.5%
AI Adoption
85%
Investment
+150%
Labour Demand
+40%
Avg Salary
$55K

Skills & Requirements

Required
Data AnnotationMachine LearningData Labeling
Growing in Demand
Natural Language Processing (NLP)Computer VisionData Quality Assurance
Declining
Basic Data EntryTraditional Data Processing Tools

Domain Trends

Increased Automation in Data Annotation
Over 60% of organizations are adopting automated data annotation tools to enhance efficiency and reduce costs.
Growing Demand for Specialized Annotation
The need for specialized annotation (e.g., for autonomous vehicles and medical imaging) is projected to grow by 35% annually.
Shift Towards Crowdsourced Annotation Solutions
Crowdsourced data annotation platforms are seeing a 50% increase in usage, driving both quality and speed in data labeling tasks.

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