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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 closedCandor Systems
Remote
Chicago, United States (UTC-6)
Ethics hotlines receive thousands of reports per year — misconduct allegations, financial irregularities, safety concerns, HR complaints. Today, compl...
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Posted 4 months ago
Applications closedCorvex Intelligence
Remote
New York, United States (UTC-5)
Coordinated inauthentic behavior — networks of fake accounts amplifying narratives, astroturfing campaigns, state-sponsored disinformation — is measur...
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Posted 4 months ago
Applications closedWavion Intelligence
Remote
Berlin, Germany (UTC+1)
A knowledge graph built from English Wikipedia doesn't know that the French Wikipedia article on the same concept uses a different taxonomy, assigns d...
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Posted 4 months ago
Applications closedXolvex Studio
Remote
New York, United States (UTC-5)
Live sports commentary that sounds like a human analyst wrote it — contextually aware, statistically grounded, emotionally appropriate for the moment,...
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Posted 4 months ago
Applications closedYovex Intelligence
Remote
New York, United States (UTC-5)
LLMs break in ways that are impossible to predict without adversarial testing. A model that performs flawlessly on benchmark evaluations can be jailbr...
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Posted 4 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
Benchmarks lie. A model that scores 90% on MMLU might fail at tasks that MMLU wasn't designed to measure, and the gap between benchmark performance an...
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Posted 4 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Text-to-speech has solved intelligibility. The remaining frontier is naturalness — the subtle patterns of stress, rhythm, pacing, and intonation that...
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Posted 4 months ago
Applications closedPolvex Studio
Remote
New York, United States (UTC-5)
Brand narrative is hard to measure. Marketing teams know instinctively when their brand story is drifting — when competitor messaging is bleeding into...
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Posted 4 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Academic researchers spend 15% of their time searching for grant opportunities and writing eligibility assessments. Most of that time is wasted on opp...
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Posted 4 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
A partner at an Am Law 100 firm decides whether to take a contingency case partly by gut feel, because predicting litigation outcomes is genuinely har...
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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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