jobs VS label-studio

Xkit | Senior UX Engineer | REMOTE | Full-Time | https://xkit.co

Xkit lets developers add direct, native, embedded integrations to their SaaS app as easily as building a Zapier app. With one straightforward integration to Xkit, developers can add integrations to Salesforce, HubSpot, Zendesk, and others without writing any additional code. Most of the time, those integrations can even be added by non-engineers, like product managers and customer success managers.

We're hiring a Senior UX Engineer to help us define and deliver the user experience for Xkit.

We're a small team without a dedicated designer, so this role is responsible for determining the best UI/UX patterns to employ (using our existing patterns and frameworks where possible) as well as delivering them in the form of working, performant code.

This is a highly product- and user-focused role. We're looking for the rare combination of a highly capable React/Typescript engineer paired with a good UX and design sense.

For a full job description, check out https://github.com/xkit-co/jobs/blob/main/senior-ux-engineer... or feel free to email me directly, I'm trey at our main domain.

SEEKING FREELANCER | 100% Remote (one weekly meeting at 11:30am PT)

Looking for a Senior React/Typescript Engineer to help build out a new project at https://xkit.co (YC S18). We build developer tools to make it easier to add integrations to your app.

Small, fast-moving team; the rest of the stack is Elixir, PostgreSQL, running on AWS.

More details on the team and project here: https://github.com/xkit-co/jobs/blob/main/senior-frontend-en...

If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.

14. LabelStudio by Human Signal | Github | tutorial

For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

Huh?

I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.

My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.

Pytorch is open source, Huggingface is open source. CUDA isn't. This is

https://labelstud.io/

and for annotating text spans there are so many open source tools

https://github.com/doccano/doccano

I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.

LabelStudio is free for single use. https://labelstud.io/

LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.

Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.