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Remote Hugging Face Jobs

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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LLM Engineer NLP Engineer Fine-Tuning Specialist Open-Source AI Engineer ML Research Engineer

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N

Posted 6 months ago

Applications closed

Prompt Engineer

NordBot AI

Remote

Chicago, United States (UTC-6)

mid-level
full-time
English
$85,000 – $110,000
Open job
E

Posted 6 months ago

Applications closed

NLP Engineer

EdgeML

Remote (EU / US)

UTC (UTC+0)

mid-level
full-time
English
$90,000 – $115,000
Open job
A

Posted 6 months ago

Applications closed

NLP Engineer — Arabic Language Processing

Arctis Analytics

Remote

senior
freelance
English
Open job
M

Posted 6 months ago

Applications closed

ML Engineer — AI Accessibility Tools (Vision Impaired)

MediaAI ME

Remote

mid-level
Full-time
English
$90k – $125k / year
Open job
O

Posted 6 months ago

Applications closed

ML Research Engineer – Generative AI

OceanAI

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$140,000 – $185,000
Open job
O

Posted 6 months ago

Applications closed

Senior NLP Research Engineer

OceanAI

Remote

New York, United States (UTC-5)

senior
full-time
English
$120,000 – $155,000
Open job
T

Posted 6 months ago

Applications closed

Clinical NLP Engineer — Medical Summarisation

TalentFlow AI

Remote (US)

senior
Full-time
English
$130k – $170k / year
Open job
G

Posted 6 months ago

Applications closed

LLM Fine-Tuning Engineer

Gulf Analytics

Remote

New York, United States (UTC-5)

mid-level
freelance
English
Open job
V

Posted 6 months ago

Applications closed

NLP Engineer — Multilingual Search

VectorMind

Remote

senior
full-time
English
$120k – $160k / year
Open job
O

Posted 6 months ago

Applications closed

Applied AI Researcher — Document Intelligence

OceanAI

Remote

senior
full-time
English
$120k – $165k / year
Open job

Role guide

What to expect in remote Hugging Face jobs

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 you'll work on

  • Fine-tune LLaMA, Mistral, or Phi models using LoRA or QLoRA via PEFT
  • Build production inference pipelines with the Transformers library
  • Evaluate model outputs using Hugging Face Evaluate and custom metrics
  • Deploy models to Hugging Face Inference Endpoints or self-hosted serving

What companies look for

  • Hands-on fine-tuning experience with PEFT, LoRA, and the TRL library
  • Deep knowledge of the Transformers tokeniser and model API
  • Experience with the Hugging Face Hub for model and dataset management

Frequently asked questions

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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