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 Key Responsibilities Review and annotate image / video footage frame-by-frame or by segment according to defined labelling schemas Apply bounding boxes, tracking IDs, event tags, or classification labels to objects/actions within image / video content Edit, correct, and time-sync captions against audio/video content for accuracy Check captions for spelling, grammar, punctuation, and correct speaker attribution Ensure annotations and captions meet accuracy and quality benchmarks set by the project Flag ambiguous, unclear, or edge-case video/caption content for review/escalation Follow annotation and captioning guidelines and update work based on QA feedback Maintain productivity targets while meeting quality standards Attend briefings/training sessions on tool usage and annotation guidelines Report progress and issues to the Team Lead Requirements Minimum Diploma in any discipline Prior experience in data annotation, captioning, subtitling, or content moderation is an advantage (not mandatory) Comfortable working with video annotation and caption-editing tools/platforms Strong attention to detail, especially for language/grammar accuracy in captions Able to follow structured guidelines and apply judgement on edge cases Computer literacy (navigating software tools, spreadsheets) Good written and spoken English skills (essential for caption editing) Working Arrangements On-site (One North Area) Working hours: 9:00 AM – 6:00 PM Comfortable working with sensitive or varied video content as per project scope 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. Join a growing company using technology to help tackle enterprises’ toughest challenges.

Annotator (Video Annotation & Captioning).

more at Centific.

Hardware Test Automation Engineer

Annotator (Video Annotation & Captioning)

Annotator (Video Annotation & Captioning)

similar roles.

Lead Data Engineer - m/v/x

Senior Consultant | Data Strategy - m/v/x

Open application (f/m/x)

Data Scientist (F/H)

Data Engineer (F/H)

Business Intelligence Developer

more at Centific.

Hardware Test Automation Engineer

Annotator (Video Annotation &amp; Captioning)

Annotator (Video Annotation &amp; Captioning)

similar roles.

Lead Data Engineer - m/v/x

Senior Consultant | Data Strategy - m/v/x

Open application (f/m/x)

Data Scientist (F/H)

Data Engineer (F/H)

Business Intelligence Developer

Annotator (Video Annotation & Captioning)

Annotator (Video Annotation & Captioning)