HyperGAI | AI Data Engineer
2 weeks ago
As a key member of our team, your primary responsibilities will revolve around building high-quality multimodal (image and text) datasets that can advance state-of-the-art generative AI models. In this role, you will be expected to:
Responsibilities
Build high-quality multimodal (image and text) datasets through a variety of channels, including web data crawling from the internet, manual annotation from humans, automatic data generation using deep learning models, etc.
Create UI and systems for data acquirement, preprocessing, labeling, filtering, viewing, and storage.
Collaborate closely with our AI researchers, actively participating in deep learning model training and evaluation.
Collaborate with a group of data annotators, set the requirements for data annotation, and closely monitor the annotation quality.
Qualifications
A minimum of three years of professional experience in software development, data science, or a related field.
Proficiency in Python, with hands-on experience in PyTorch.
Proven expertise in building well-balanced and diverse datasets.
Strong knowledge of developing a web crawler for data extraction from the internet, utilizing Python or other programming languages.
Able to implement a simple UI for data visualization via Streamlit, Gradio, or other available tools.
Experience with using multimodal deep learning models, such as CLIP, BLIP, Stable Diffusion, etc.
(Bonus) Passionate about building innovative AI models and products.
How to Apply
If you‘re passionate about embarking on this AI journey with HyperGAI, we would love to hear from you
Please send your CV/resume to:
#J-18808-Ljbffr
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