Data Annotation & Quality Specialist

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
• 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