Data Annotation

3 weeks ago


delhi, India Endovision Full time
Endovision is a Med-tech company, which is helping the endoscopists to diagnose stomach cancer with better accuracy more efficiently, with the aid of real-time video analysis using AI.
Data annotation is the process of labeling the data available in various formats like video or images. For supervised machine learning labeled data sets are required, so that machine can easily and clearly understand the input patterns.
As Data Annotation and QA Specialist you will be touching various aspects of AI Experimentation Lifecycle including data annotation, model benchmarking, production testing and release planning . You will be required to produce an output which is high quality with highly accurate reporting
Job Type: In-office
Job Location: Connaught Place, New Delhi
Responsibilities:
Mining, cleaning and organizing data to be used by various AI models.
Label and annotate all the training data
Ensure all data is prepped and ready to feed into the AI models
Revise the training data as specified by the engineering team
Test the output of the AI models and update training data needs
Run Verification & Validation tests on production
ML Process Execution
File and track bugs and their resolutions
Work with data scientists/AI Engineers to design experiments and benchmark AI results.
Provide constructive feedback to our engineers on tooling and processes for more efficient labeling, and to improve data quality.
Troubleshooting and analysis of product/customer issues.
Requirements:
Responsible, Self-motivated to work independently, even with minimal supervision (training is provided)
Hands-on experience with testing Software Systems
Highly proficient in spoken and written English language
Meticulous and detail-oriented
Good proficiency over MS Office Tools
Willing to support several projects at one time, and to accept reprioritization as necessary
Some experience of similar activities would be a bonus, e.g. Text, Image, or Video Data segmentation and classification, etc.
Min 1 year of relevant industry experience in a tech company
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