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Student data annotator

Ostende
Oxygen
Publiée le 5 octobre
Description de l'offre

About Oxygen

The insurance industry is gasping for breath. The work environment is becoming increasingly digital, legislation is changing, clients expect more and the call for efficiency is getting more prominent. Our passionate team of experts offers an answer. Bringing oxygen and building the insurance industry of tomorrow : that’s what we’re all about!

We make impact by approaching industry challenges from different angles. We fill in project roles, support in day-to-day administration, provide total solutions and offer an answer to complex challenges by offering end-to-end automations.

At Oxygen, it’s all about people. We believe that passionate people with ambition can make the difference. Growth through the growth of people, that’s how it works.


What will you be doing?

As a Data Annotator / Data Labeller you will be an integral part of our Claims HealthCare automation offering. Your role involves taking ownership of transcribing, tagging and annotating data for training our AI model. You will work closely with the Product Development team and will support us in improving the accuracy and quality of our models to achieve excellent performance.


Job Responsibilities:

* Supporting the training of models through accurately categorizing content, labelling images and annotating data
* Reporting and documenting issues faced from data annotation to Research team and discuss solutions to improve data
* Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models
* Contribute to workflow process improvements


Who are you?

* Preferably with basic computer literacy and IT experience
* Ability to work on repetitive tasks efficiently and effectively with minimal errors
* Excellent communication, analytical and with good reasoning skills
* Possess high motivation with the desire to learn
* Proactive attitude
* Strong interest in Artificial Intelligence and machine learning, especially in deep learning
* You are available to work min 6h per week
* Dutch and/or French speaker


What can you expect?

* A challenging project in an exciting development environment
* You can work from home, the number of hours per week is flexible (whatever suits you)
* Competitive remuneration

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