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Re:Ask HN: Who is hiring? (October 2021) on Friday October 01, 2021 @02:02PM (#28721641)
Heartex / Label Studio | SFBA, Remote | Full-time

We're the leading open-source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning, we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Own and develop our flagship open-source product Label Studio

Evangelist: Engage data science community and build meaningful relationships

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software.

We're a passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]

Re:Ask HN: Who is hiring? (July 2021) on Thursday July 01, 2021 @03:22PM (#27703369)
Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Work on Label Studio directly, managing multiple lines of product feedback (open source users, customers, internal ideas). Help prioritize and improve features, connecting that to the product metrics.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]

#open source #machine learning #data science #ml #django #python

Re:Ask HN: Who is hiring? (April 2021) on Thursday April 01, 2021 @05:44PM (#26666504)
Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 5K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Head of Engineering: Lead open source engineering team as well as organize developers' community, their contributions, feature requests, feedback, manage backlog, and development process. We have big plans in terms of open source growth and you'll be leading a lot of that.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]

Re:Label Studio v1.0 on Tuesday March 16, 2021 @04:07PM (#26482132)
Excited to post about this, Label Studio – open source data labeling tool we've started working on more than a year ago is hitting v1.0 with a lot of new goodies.

We originally started working on it due to the complexity of bringing ML systems to production. So much depends on data quality, and dataset understanding, but the tooling to help you with that process was just not there. You probably know that first hand if you've worked on production ML systems.

With this release Label Studio gets multi-user labeling. It's important because advanced and accurate supervised ML systems are a product of collaboration between people. Using accounts users can work on the same datasets and each user’s annotations are tied to their account. Using Projects you can streamline managing and work on different datasets, projects as well can be shared with other users. It can be embedded into the ML pipeline for humans in the loop and online learning scenarios.You can use Label Studio for computer vision, NLP, speech processing, time series analysis, and more

Would love to hear your feedback!

Re:Ask HN: Who is hiring? (January 2021) on Monday January 04, 2021 @02:47PM (#25636864)
Heartex / Label Studio | San Francisco, SFBA, Remote | Full-time

If you're excited about Data Science, Machine Learning, and AI (with a related Data Science background) and is interested in a Community Manager position to help ML Engineers get the most out of our open-source data labeling product, promote its usage, build use-cases, then send me a note at [email protected]

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and management experience and provide weak supervision to automate it as much as possible.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

Re:Ask HN: Who is hiring? (December 2020) on Tuesday December 01, 2020 @04:19PM (#25270035)
Heartex / Label Studio | Anywhere USA | Remote OK | Full time

If you have a passion for Data Science, Machine Learning, and AI (with a related Data Science background) and is interested in a Community Manager position to help ML Engineers get the most out of our open-source data labeling product then send me a note at [email protected]

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If there is interest, we're working on time-series data labeling tool. Sneak peek at it here:

https://htx-pub.s3.amazonaws.com/Screen+Shot+2020-06-17+at+1...

If you think it might be useful and you want to try it out drop me an email michael @ heartex.net

Re:Data Science: Reality Doesn't Meet Expectations on Tuesday April 07, 2020 @04:45PM (#22807288)
Great read. A lot of those problems are real, and some of those I’ve experienced myself. But I think at least some of them are related to the immaturity of the field. We’re only at the beginning of creating the tools and platforms to facilitate DS, making it more reproducible and easier to measure.

For example, I’m working on the tool to make data management easier and convert datasets into a structured representation. If you have experienced that you spend a lot of time on preparing and analyzing data, and it is tedious, please reach out to me michael at heartex.net, would love to get your feedback on the product we have built so far.

Re:Ask HN: Who is hiring? (April 2020) on Wednesday April 01, 2020 @11:57AM (#22750051)
Heartex / Label Studio | Senior FrontEnd Engineer / FullStack Engineer | Full-Time | Remote

Hey there, Michael here, one of the founders. We're building a data management platform for Machine Learning.

As a part of the core engineering team, you'll be working on our open-source data labeling tool https://labelstud.io/ as well as a commercial offering. There is a lot of exciting work! I'd say that this is nowadays a rare position where you'd use and/or learn how to use data structures like trees, queues, and graphs. We're a small team of ML/AI experts, VC-funded, working on a challenging problem, and I welcome you to join the journey!

Our current stack is: React, mobx-state-tree, django, drf

Email me michael @ heartex.net with links, texts, and anything you find worth sharing.

Ctrl+F: We're also hiring for a Marketing position, you're T-shaped, act quick, think fast, and have experience working in competitive markets.

Check out our open-source tool called Label Studio, https://labelstud.io and we have a commercial offering that does exactly this, finetuning the models.
Re:Show HN: Label Studio – modular data labeling tool on Friday June 21, 2019 @09:05PM (#20247394)
Point taken. To put a bounding box, you need to preselect a label first and then click on the image - that should work fine. If you still have patience with us, please check and let me know how it goes.
Re:Show HN: Label Studio – modular data labeling tool on Friday June 21, 2019 @01:30PM (#20244612)
Hey, sorry about that. It was not intentional to put an authorization there. We have removed that. You can now click on example links and get the resulting UI.
Re:Show HN: Label Studio – modular data labeling tool on Thursday June 20, 2019 @06:58PM (#20238253)
Hey HN, we're about to release an initial version of our modular data labeling tool to the open source and want to give you a quick peek.

Any feedback is much appreciated!

Late to the party. This article mentions AI based labeling tools and we're building one of them. If you're interested to try it out send me an email mik @ heartex.net
Re:Ask HN: Who's Hiring? on Saturday May 01, 2010 @12:11AM (#1310094)
Btw, solved your challenge in under 1s (2.27ghz), but i'm way too far from Palo Alto :)
You may want to read "CODE" by Charles Petzold
Heh, you probably should put some description on your front page and a video after that description might be nice. I opened an url and immediately closed it because i could not understand anything and don't want to spend time random clicking. You can't do Google style design, no one knows yet what you're after ;) The idea is nice though.
Re:Hundreds of math and science educational videos on Sunday April 18, 2010 @01:10PM (#1275101)
I think i don't have to ask you this, but please, DONATE if you can. This site brings the real value, and Salman quit his job just to do this.

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