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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 closedElvio Works
Remote
Los Angeles, United States (UTC-8)
AI image generation has a composition problem: models can generate photorealistic images with poor compositional quality — awkward subject placement,...
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Posted 4 months ago
Applications closedEmrex AI
Remote
Chicago, United States (UTC-6)
RAG performance lives or dies on chunking strategy. Fixed-size character chunks miss sentence boundaries and break coherent thought units. Sentence-le...
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Posted 4 months ago
Applications closedGlyph Systems
Remote
New York, United States (UTC-5)
Federal and state agencies receive thousands of public comments on proposed regulations. The EPA received 1.2 million comments on a single Clean Air A...
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Posted 4 months ago
Applications closedAltrix Systems
Remote
New York, United States (UTC-5)
A knowledge graph built from multiple sources will contain conflicts. Two news articles say the same person was born in different cities. A corporate...
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Posted 4 months ago
Applications closedYovex Intelligence
Hybrid
New York, United States (UTC-5)
Manual red teaming scales poorly. A team of 10 red teamers working full-time can probe a model's guardrails with thousands of adversarial prompts per...
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Posted 4 months ago
Applications closedUlara AI
Hybrid
Los Angeles, United States (UTC-8)
Voice style transfer sits between voice cloning and text-to-speech: given a target speaker's characteristics — their timbre, pace, prosodic patterns,...
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Posted 4 months ago
Applications closedVelvix Labs
Hybrid
Timezone not specified
Emergent capabilities — behaviors that appear in large language models at scale without being explicitly trained — are one of the most poorly understo...
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Posted 4 months ago
Applications closedVordex Tech
Remote
New York, United States (UTC-5)
A government benefits website written at a 12th-grade reading level is inaccessible to the 54% of US adults who read below a 6th-grade level. A medica...
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Posted 4 months ago
Applications closedWavion Intelligence
Remote
New York, United States (UTC-5)
When a document says 'Apple announced its new product line' and then three sentences later says 'the company also revealed that it would', a human rea...
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Posted 4 months ago
Applications closedQuelion Cloud
Remote
Chicago, United States (UTC-6)
The same word means different things in different contexts. 'Python' in a developer tool search means the programming language. 'Python' in a nature c...
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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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