About Centific
At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills,
and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people
– from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed.
About Job
Overview
The Data Annotator is responsible for performing the day-to-day work on annotation tasks. They draw boxes on images and tag them according to the client’s specifications. The Data Annotator transcribes the text in images. Entry-level position.
Duties and Responsibilities
• Draw boxes around required content on given images and tag it accurately according to guidelines.
• Transcribe text using the right words and spelling in English or targeted language.
• Additional duties as required.
Requirements
• Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint.
• General knowledge of online communication.
• Ability to type in English and at least one of the target languages.
• Willingness to work overtime if necessary.
• Remote, office, or hybrid work environment depending on specific position.
• Ability to follow directions and perform time bound tasks accurately and efficiently.
• Ability to perform repetitive tasks without degradation in quality.
• Detail-oriented problem-solving mindset.
• Organized and focused enough to work independently as a role player within a team environment.
Top Skills
What We Do
Zero distance innovation for GenAI creators and industries
Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment
We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.
We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.
These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
