Project Associate

Reposted 3 Days Ago
Hyderabad, Telangana
In-Office
Entry level
Artificial Intelligence
The Role
The Senior Data Annotator performs image annotation, transcription, and peer review of annotations, while communicating project details to the team.
Summary Generated by Built In

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

Overview
The Senior 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 Senior Data Annotator also transcribes the text in images and performs peer review on other Data Annotator’s work. They help to communicate project specifics from project management to the other Data Annotators. Annotation experience required.
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.
• Review/QA submissions done by peers to improve overall accuracy.
• Communicate project specifics from project management to the other Data Annotators
• 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.

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Top Skills

Excel
Microsoft Office 365
Outlook
PowerPoint
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The Company
HQ: Redmond, WA
2,900 Employees

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.

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