Data Labeling
2 weeks ago
Data labeling usually consists of the tagging, classification, moderation, annotation, processing and review of data to make databases more effective. Understanding what positions exist in this tech field could help you refine your career path and decide if a data labeling career is right for you
**Requirements**:
e seeking a dedicated Data Labeler to join our growing company. As a Data Labeler for our computer
vision-based technology, you will play a pivotal role in enhancing AI models by meticulously labeling and categorizing
diverse visual data.
You will be working in the most important part of the AI model maintaining data quality, collaborating with
cross-functional teams, and contributing to the development of cutting-edge AI technologies. Join us to be part of a
dynamic team at the forefront of innovation in computer vision.
Responsibilities
1. Ensuring the quality of visual data, which may include images and videos.
2. Labeling the visual data for the training of AI models.
3. Collaborating closely with data engineers and AI engineers to uphold the data repository.
4. Taking the lead on job requirements and new ideas
Below are the qualifications expected of an Data Labeler
- Graduation/ Diploma
- 1+ year experience
Contact
Nitish Mishra, +(91)
meeting with clients virtually or during sales visits. demonstrating and presenting products. establishing new business. maintaining accurate records. attending trade exhibitions, conferences and meetings. reviewing sales performance. negotiating contracts and packages.
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