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Browse remote Hugging Face positions at AI companies — LLM fine-tuning, Transformers library engineering, and NLP roles working with open-source models.
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Posted 4 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
Tuvex Solutions processes 40,000+ customer support tickets per month for enterprise SaaS clients. Right now, ticket routing is mostly rule-based — a p...
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Posted 4 months ago
Applications closedYovex Intelligence
Remote
Los Angeles, United States (UTC-8)
We don't care where you work from. We care about the quality of your thinking, your ability to read papers critically, and whether you can ship models...
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Posted 4 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
The models you build will help 500+ SaaS companies understand why their customers are unhappy — before they churn. Jarvik Solutions builds AI-powered...
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Posted 4 months ago
Applications closedMevra Labs
Remote
London, United Kingdom (UTC+0)
We publish internally and encourage conference submissions — the right candidate will read recent papers, implement findings, and contribute to our re...
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Posted 4 months ago
Applications closedBreva AI
Remote
New York, United States (UTC-5)
Our data grows faster than our lawyers can read it. Breva AI processes thousands of legal briefs, court filings, and regulatory submissions every week...
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Posted 4 months ago
Applications closedVelvix Labs
Hybrid
Timezone not specified
LLMs hallucinate. The research community knows this. What is not yet solved is how to measure it rigorously and at scale: which kinds of questions tri...
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Posted 4 months ago
Applications closedWavion Intelligence
Hybrid
New York, United States (UTC-5)
Semantic role labeling — determining who did what to whom, when, where, and how in a sentence — is the NLP task that connects surface syntax to event...
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Posted 4 months ago
Applications closedYovex Intelligence
Hybrid
New York, United States (UTC-5)
LLM-based systems increasingly operate with access to tools, APIs, databases, and external services. A customer service bot connected to a CRM can loo...
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Posted 4 months ago
Applications closedZenora Labs
Remote
Timezone not specified
LLMs operating on long documents face a specific faithfulness failure mode: the model generates an answer that's plausible and fluent but isn't actual...
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Posted 4 months ago
Applications closedAltrix Systems
Remote
New York, United States (UTC-5)
Knowledge graphs encode what is true. Temporal knowledge graphs encode what was true and when — capturing that an entity's properties change over time...
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Role guide
Hugging Face has become the central hub for open-source LLM development. Remote Hugging Face jobs involve fine-tuning and deploying models from the Hub, building NLP pipelines with the Transformers library, and contributing to inference optimisation. Engineers with Hugging Face experience are at the core of the open-source AI movement.
What Hugging Face roles are available remotely?
LLM fine-tuning engineers, NLP developers, and ML research engineers who work primarily with the Hugging Face ecosystem. Most roles require PyTorch alongside Transformers library experience.
Do I need to know LoRA for Hugging Face remote jobs?
For fine-tuning roles, yes. LoRA and QLoRA (via the PEFT library) have become standard for parameter-efficient fine-tuning of large models. Full fine-tuning roles are rarer and typically require more compute resources.
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