Trying something new, everyone is guaranteed an interview! Open interviews! For a limited time no one will be skipped (except for clear cases of abuse).
So we still have about 10 more 100% remote positions to hire for full-time market-fair positions here at QOTO/CleverThis.
100% remote, work from anywhere, even the beach, market-fair offers. Ethics first, we treat our people like family.
We have an urgent need for Machine learning experts with a background in NLP and Deep Learning (Natural Language Processing and Neural Networks). There is a focus on Knowledge Graphs, Mathematics, Java, C, looking for Polyglots.
We are an open-source first company, we give back heavily to the OSS community.
We need everything from jr to sr, data scientist to programmer. If your IT and your good, you might be a fit.
I will personally be both your direct boss, and hiring manager. I am also the founder and inventor.
The NLP position can be found at this link, other positions can be found on the menu bar on the left:
If you would like to submit yourself for an interview, which for a limited time I am guaranteeing you will get a first stage interview, then you can submit your application here, and even schedule your interview as you apply, instantly!
A bit of an overview and then I'll get into some of the more specific arguments in a thread:
This piece is in three parts:
First I trace the mutation of the liberatory ambitions of the #SemanticWeb into #KnowledgeGraphs, an underappreciated component in the architecture of #SurveillanceCapitalism. This mutation plays out against the backdrop of the broader platform capture of the web, rendering us as consumer-users of information services rather than empowered people communicating over informational protocols.
I then show how this platform logic influences two contemporary public information infrastructure projects: the NIH's Biomedical Data Translator and the NSF's Open Knowledge Network. I argue that projects like these, while well intentioned, demonstrate the fundamental limitations of platformatized public infrastructure and create new capacities for harm by their enmeshment in and inevitable capture by information conglomerates. The dream of a seamless "knowledge graph of everything" is unlikely to deliver on the utopian promises made by techno-solutionists, but they do create new opportunities for algorithmic oppression -- automated conversion therapy, predictive policing, abuse of bureacracy in "smart cities," etc. Given the framing of corporate knowledge graphs, these projects are poised to create facilitating technologies (that the info conglomerates write about needing themselves) for a new kind of interoperable corporate data infrastructure, where a gradient of public to private information is traded between "open" and quasi-proprietary knowledge graphs to power derivative platforms and services.
When approaching "AI" from the perspective of the semantic web and knowledge graphs, it becomes apparent that the new generation of #LLMs are intended to serve as interfaces to knowledge graphs. These "augmented language models" are joint systems that combine a language model as a means of interacting with some underlying knowledge graph, integrated in multiple places in the computing ecosystem: eg. mobile apps, assistants, search, and enterprise platforms. I concretize and extend prior criticism about the capacity for LLMs to concentrate power by capturing access to information in increasingly isolated platforms and expand surveillance by creating the demand for extended personalized data graphs across multiple systems from home surveillance to your workplace, medical, and governmental data.
I pose Vulgar Linked Data as an alternative to the infrastructural pattern I call the Cloud Orthodoxy: rather than platforms operated by an informational priesthood, reorienting our public infrastructure efforts to support vernacular expression across heterogeneous #p2p mediums. This piece extends a prior work of mine: Decentralized Infrastructure for (Neuro)science) which has more complete draft of what that might look like.
(I don't think you can pre-write threads on masto, so i'll post some thoughts as I write them under this) /1
Java is an interesting language for a Fediverse project because it's the one language with several mature implementations of Semantic Web tech (RDF, SPARQL, etc). JSON-LD just works, out of the box. It was kind of shocking to see Apache Jena do in a few minutes of work what took me weeks in Deno!
And I learned about a piece of the Semantic Web ecosystem I wasn't familiar with before. Have you heard the good word of OWL?
🆕 blog! “Does AI mean we don't need the Semantic Web?”
If you hang around with computerists long enough, they start talking about the Semantic Web. If you can represent human knowledge in a way that's easy for computers to understand it will be transformative for information processing. But computers, traditionally, haven't been very good at parsing ambiguous …
I am still hiring for top-tier programmers and data scientist. Please reboost, share, recommend, or reply if you know anyone who might be interested.
Fully remote! Live and work from anywhere with internet (including the beach!)
I am the company owner, and will be both your direct boss and the hiring manager.
Semantic Web, AI, and Java are some of the key techs. Open-source and Linux oriented experience ideally. OSS contributions and activity will be weighted heavily, particularly in relevant areas.
This is the International SemanticWeb Research Summer School (ISWS) tooting! ISWS is a full immersion, super intensive one-week experience including lectures and keynotes from outstanding speakers, a “learning by doing” teamwork program on open research problems, under the guidance of the best scientists in the field.
website: https://2024.semanticwebschool.org/
In the early years of Twitter there were so many cool apps built on geotagged tweets for use cases like disaster mapping. Also many beautiful maps of spatial patterns of social media from creative coders like Erica Fischer.
Gradually, though, people stopped using geotags in Twitter and nothing quite took its place.
But now with @Edent's work to implement "Foursquare on Mastodon" maybe a new geosocial age is dawning?
@alan@Edent personally I would enjoy a indirect geotagging by refering just to wikidata objects as context. To me this looks a bit more like #semanticweb :ablobcatbongo:
The second version of the KG4S workshop will be collocated with ESWC 2024 in Hersonissos, Crete, Grece. This workshop intends to gather researchers and industry stakeholders to create a meeting point between Web of Data technologies and sustainability research, to boost the potential contribution of Web technologies, such as Knowledge Graphs, towards sustainability. https://2024.kg4s.org#kg4s#KnowledgeGraphs#sustainability#SemanticWeb
I am truly amazed at the number of applicants I have seen off of this single post. And almost all are well suited candidates worth my time to review. I am astonished that a single post on the fedi is more effective than actually hiring a recruiter. Thank you everyone for the boosts and applications.
While many applicants have made it through and are currently being hired because we have so many positions we have quite a few still available for every level from sr to jr, and both data scientists and programmers. So please keep boosting, sharing, and applying if anyone is interested.
Just a reminder this is 100% remote, no fixed hours, will pay market rates for position. I will be your direct boss and hiring manager (also owner, founder, and inventor of the tech).
Wer vielleicht #OpenStreetMap schon kennt, aber sich bisher nicht an #wikidata getraut hat, für den läuft bis Monatsende eine spannender Wettbewerb, um Objekte dort zu georeferenzieren:
📢 Job alert! 📢
We have a PhD/postdoc position open at the Department of Computer Science of KU Leuven on #KnowledgeGraphs for #CulturalHeritage in the frame of the REEVALUATE Horizon Europe - RIA project to review the state of the art with respect to ontologies and #SemanticWeb for cultural heritage and contribute to the semantic representation of the artefact’s metadata to improve its accessibility and automated discovery of digitised object misuses.
Here are the slides from my #knowledgegraphs lecture "Knowledge Graphs - Data, Information, Knowledge" from last week's Studium Generale "Vernetzte Kultur" at Philipps-Universität Marburg.
Slides: https://zenodo.org/records/10575843