Data Annotator (After A/L)
If you are eager to gain hands-on experience in AI product development and have a keen interest in technology, politics, and media, this opportunity is perfect for you. Your passion, talent, and integrity are highly valued here.
Role Overview
We are seeking enthusiastic individuals who are fluent in Sinhala and English, with knowledge of Tamil being an added advantage. This is an excellent opportunity for anyone interested in technology, artificial intelligence, and content creation. If you're detail-oriented and enjoy working with digital content while having a strong interest in politics and media, this role is ideal for you!
Key Responsibilities
- Accurately label and annotate diverse datasets
- Transcribe audio/video content and improve existing transcripts
- Work with text, images, audio, and video content
- Learn and apply precise annotation guidelines
- Use digital annotation tools and platforms
- Maintain high levels of accuracy and attention to detail
- Participate in training sessions
- Help improve data preparation processes
Qualifications
- Fluency in Sinhala and English
- Excellent listening skills and attention to detail
- Strong written communication skills in the languages you're proficient in.
- Ability to summarize information effectively
- Basic computer skills and familiarity with online tools
- Self-motivated with the ability to work independently
Preferred Skills
- Having a working Laptop is a must.
- Familiarity with transcription software or tools
- Experience with content summarization or writing
- Knowledge of data annotation practices
- Interest in technology, politics, media, and the YouTube ecosystem
What We Offer
- Rs. 20,000 + Bonus
- Flexible work hours and remote work options
- Opportunity to learn about content creation and the YouTube ecosystem
- Potential for growth within the company as you develop your skills
- Supportive team environment for those new to the field
- Opportunity to learn about artificial intelligence and digital technologies
- Gain practical experience in data preparation
Full-time
Anywhere, Worldwide