Talantix.io
TELUS Digital•19.02.26
AI SCORE 8.5

AI Data Annotation Specialist - Remote

$30K–$40K/year
RemoteAI/Big Data
Data Annotation•Machine Learning•AI Concepts•Data Labeling•Text Annotation•Image Annotation

About the Role

Join TELUS Digital as an AI Data Annotation Specialist - Remote! In this role, you will help shape the future of AI by annotating, labeling, and curating data that powers advanced machine learning models. Your contributions will directly impact the accuracy and performance of AI systems used worldwide. This is an exciting opportunity for detail-oriented individuals looking to make a difference in the AI landscape.

What You'll Do

  • Annotate & Label: Tag, categorize, and review text, images, and documents to ensure high-quality data for AI training.
  • Collect Data: Gather and organize datasets that are crucial for training machine learning models.
  • Ensure Quality: Review and validate data for precision and consistency, maintaining high standards.
  • Collaborate Globally: Work with an international team to meet project milestones and deadlines.
  • Flexible Hours: Enjoy the freedom to work up to 10 hours per day, 40 hours per week—on your own 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 and software.
  • Familiarity with various data types, including text, images, and audio.
  • Knowledge of best practices in data collection and validation.

What We Offer

  • Earn extra income while working remotely.
  • Access to our community wellbeing initiative.
  • Location independence and the ability to be your own boss.
  • Flexible hours that fit in with your lifestyle.
  • Be a part of an online community of like-minded individuals.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as an AI Data Annotation Specialist, contributing to impactful AI projects while enjoying flexible hours and independence.

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

Who Will Succeed Here

→

Proficient in data annotation tools such as Labelbox or Prodigy, with a strong understanding of machine learning concepts to ensure precise labeling for AI training.

→

Detail-oriented and self-motivated, thriving in a remote work environment where focus and discipline are essential for managing time and meeting project deadlines.

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Possesses a foundational knowledge of AI and machine learning principles, with a mindset geared towards continuous learning and adaptation as technology evolves.

Learning Resources

→Data Annotation Best Practicesarticle
→Introduction to Machine Learning with Pythoncourse
→How to Annotate Data for Machine Learningguide

Career Path

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

Market Overview

Market Size 2024
$2.5B
Annual Growth
25.4%
AI Adoption
78%
Investment
+200%
Labour Demand
+30%
Avg Salary
$50K

Skills & Requirements

Required
Data AnnotationMachine LearningAI Concepts
Growing in Demand
Natural Language Processing (NLP)Computer VisionData Quality Assessment
Declining
Manual Data EntryTraditional Data Processing Tools

Domain Trends

Increased Automation in Data Annotation
Around 60% of organizations are investing in automated data annotation tools to enhance efficiency and reduce costs.
Shift Towards Multi-Modal Data Annotation
The demand for multi-modal data annotation (combining text, image, and video) is expected to grow by 40% as companies seek comprehensive datasets for AI training.
Focus on Data Privacy and Ethics
Over 70% of companies are prioritizing ethical data handling practices, influencing the design of data annotation processes to ensure compliance with regulations.

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