Video Annotator Hybrid-Pune
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Location: Hybrid/Pune India
Employment Type: Full-Time
Engagement Model: Employment (Temporary)
Work Schedule:General shift
Estimated Start Date: ASAP
Estimated Project Duration: Until the end of July with a possibility of extension
About the Role:
We are seeking detail-oriented and motivated individuals to join our team as Video Annotators for an exciting computer vision project. As a Video Annotator you will review video footage and accurately label elements such as vehicles movements road environments and other objects according to detailed project guidelines. No advanced technical knowledge is required but strong attention to detail and the ability to follow instructions are essential.
Responsibilities:
Watch video clips and accurately label/mainly annotate objects movements and environmental features as per given guidelines.
Identify and tag relevant cues including vehicle types road signs lane markings pedestrian actions and environmental conditions.
Maintain consistency and quality in annotation work following strict labeling and timestamping requirements.
Meet daily/weekly annotation targets and project deadlines.
Flag and report any corrupted or unclear footage.
Collaborate with team leads on feedback and revisions to improve annotation accuracy.
Requirements:
Good proficiency in English (spoken and written).
Previous experience with annotation or labeling preferably video or image annotation (not mandatory but preferred).
Strong attention to detail and commitment to project guidelines.
Ability to work independently and manage time efficiently.
Basic computer literacy and ability to use web-based annotation tools.
For advanced annotator roles: Several years of driving experience or international driving experience is a plus.
DataForce by TransPerfect is part of the TransPerfect family of companies the worlds largest provider of language and technology solutions for global business with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering enriching and processing data for Machine Learning in different AI domains.
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