We are building the first NO-CODE AI PLATFORM for the AEC industry, with the 3rd generation Explainable AI, that allows users to create complex use cases with zero coding at the frontend and neuro-symbolic AI under the hood.
Our NO-CODE AI PLATFORM provides end-to-end functionalities starting with specifying knowledge, to creating and annotating datasets, all the way to training and deploying ML models.
We are looking for a Data Annotator who will work with our AI Modelling Team in improving the accuracy and quality of our AI models to achieve excellent performance across several use cases.
You will be responsible for understanding customer use cases, translating these use cases into data requirements, annotating data, training, testing and deployment of AI models.
A substantial part of your work will involve annotating data.
Furthermore, you will be trained to work with our No-Code AI platform to train, evaluate and deploy AI Models across several use cases - all this without writing a single line of code.
You will also be contributing to the improvement of these AI Models using the python/pytorch programming language.
The candidate will gain unique professional training and experience as a No Code AI Data Specialist.
BCA / BSc. / BTech or higher with experience in data annotation and data science
Experience in working with deep learning models using pytorch.
Experience with annotation, training, testing and deployment of AI models.
Ability to support several projects at one time
Self-motivated to learn about AI pipelines and processes
The $12 Trillion construction industry is one of the “least digitalized” industries and has a major productivity problem. We aim to empower the construction industry with No-Code AI to revolutionize knowledge management and help close the productivity gap.
We are building the first of its kind NO-CODE AI PLATFORM for the construction industry, which makes it easy even for non-tech users to configure and scale AI-powered applications for a variety of use cases, without writing a single line of code. Use cases would be far-reaching, from enhanced jobsites visibility to delivering actionable insights for decision support and, (in future), enabling autonomy in machinery & robotics.
The platform, built with advanced 3rd generation "Explainable AI (XAI)", analyzes and interprets sensor, transactional and historical project data, and different forms of knowledge, to generate descriptive and prescriptive insights.
**Zero coding at the frontend and neuro-symbolic AI under the hood.**