AI Data Annotator Expert (AI Community) - APAC
TELUS Digital AI Data Solutions · APAC
- Hybrid
- Part-time
- $45,000 / year
- APAC
Job highlights
- Label images, text, and videos to train AI.
- Requires Bachelor's degree and native language proficiency.
- Work remotely with a global AI community.
- Flexible schedule to manage your own time.
- Shape real-world AI systems and products.
About the role
AI Data Annotator Expert (AI Community) - APAC
Are you looking for an easy way to get started in the world of Artificial Intelligence? At TELUS Digital, we are looking for AI Data Annotators to join our global community. You don’t need a technical degree or previous experience in AI to succeed here. Your job is to help AI "see" and "understand" the world by labeling images, text, and videos. You are the teacher providing the basic lessons that make AI smart.
Key Responsibilities:
- Image Labeling: Look at photos and draw boxes around objects like cars, trees, or people so the AI learns to recognize them.
- Text Categorizing: Read short sentences and tag them based on their meaning (for example: "Is this a question about the weather?" or "Is this a customer complaint?").
- Data Cleaning: Review lists of information and remove duplicates or fix simple spelling errors so the AI has clean data to learn from.
- Simple Comparisons: Look at two different answers written by an AI and pick which one is better and easier to understand.
Qualification path
- Mandatory Qualifications:
- Education: A minimum of a Bachelor’s Degree in any field with annotation experience.
- Native Language: Native-level proficiency in your primary language. You need to understand the natural way people speak and write in your country.
- English Proficiency: Basic (B1) English so you can follow the project instructions on our platform.
- Reliability: You are someone who can follow simple instructions carefully and deliver work on time.
Assessment:
In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
Why Join the TELUS Digital AI Community:
- Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
- Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
- Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
- Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
- Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.
Equal Opportunity:
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
Key skills/competency:
- Data Annotation
- Image Labeling
- Text Categorization
- Data Cleaning
- AI
- Machine Learning
- Artificial Intelligence
- Quality Assurance
- Attention to Detail
- Problem Solving
Skills & topics
- AI Data Annotator
- Artificial Intelligence
- Machine Learning
- Data Labeling
- Image Annotation
- Text Categorization
- Data Cleaning
- Remote Work
- APAC
- AI Community
How to get hired
- Tailor your resume: Highlight your annotation experience, native language proficiency, and any degree.
- Excel in the assessment: Prepare for the subject-specific qualification exam and ID verification.
- Showcase reliability: Emphasize your ability to follow instructions carefully and meet deadlines.
- Understand the role: Clearly articulate how your skills contribute to AI development.
Technical preparation
Practice image labeling tools.,Familiarize with text categorization methods.,Understand data cleaning principles.,Review AI comparison guidelines.
Behavioral questions
Describe a time you followed instructions precisely.,How do you ensure accuracy in your work?,How do you manage your time effectively?,How would you handle ambiguous instructions?
Frequently asked questions
- What are the basic requirements to become an AI Data Annotator Expert at TELUS Digital AI Solutions?
- To be considered for the AI Data Annotator Expert role at TELUS Digital AI Solutions, you need a Bachelor's Degree in any field with annotation experience. You must also have native-level proficiency in your primary language and at least a Basic (B1) English proficiency. Reliability in following instructions and meeting deadlines is also crucial.
- Do I need prior experience in Artificial Intelligence to apply for this role?
- No, you do not need a technical degree or previous experience in AI to succeed as an AI Data Annotator Expert. The role is designed for individuals to learn and contribute, with your primary task being to help AI 'see' and 'understand' by labeling data.
- What is the typical work arrangement for an AI Data Annotator Expert?
- The AI Data Annotator Expert position is a remote role, allowing you to work from anywhere. You can manage your own schedule, providing flexible engagement within the global AI community.
- How does TELUS Digital AI Solutions ensure fair hiring practices for the AI Data Annotator Expert position?
- TELUS Digital AI Solutions is committed to equal opportunities. All hiring decisions for the AI Data Annotator Expert role are based on qualifications, merits, competence, and performance, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
- What kind of tasks can I expect as an AI Data Annotator Expert at TELUS Digital AI Solutions?
- As an AI Data Annotator Expert, you will perform tasks such as image labeling (drawing boxes around objects), text categorizing (tagging sentences by meaning), data cleaning (removing duplicates or fixing errors), and simple comparisons of AI-generated answers.
- What is the qualification process for the AI Data Annotator Expert role?
- To be hired, you will need to pass a subject-specific qualification exam that assesses your suitability for the role. This is in addition to completing ID verification and meeting the mandatory qualifications such as a Bachelor's degree and language proficiencies.