15 Remote LLM Engineer Jobs

Explore flexible and work from home llm engineer positions available worldwide. Your career in truly remote companies - apply today.

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🗣️ LLM Engineer
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2 days ago

INDG | Grip

201 - 500

Join Grip as a Generative AI Engineer, focused on building AI capabilities. Create reusable templates and conduct training for advanced AI tools.

3 days ago

Join WeCookiT as a Senior Machine Learning Engineer, specializing in Generative AI solutions for health chatbots. Contribute to impactful projects across Europe with flexibility.

November 14

Inspiren

2 - 10

Leading development of LLM solutions for a senior living community platform.

October 29

Radian

1001 - 5000

Develop AI solutions at Radian for mortgage and real estate services.

Top companies hiring remote llm engineers

Inspiren

2 - 10

💰 $2.7M Venture Round on 2022-10

Job Openings

Instacart

Grocery Delivery • online grocery

1001 - 5000

💰 $232M Venture Round on 2021-11

Job Openings

NVIDIA

GPU-accelerated computing • artificial intelligence • deep learning

10,000+

Job Openings

Remote llm engineer salary expectations

The average salary for remote llm engineers is $163,225 per year. This is based on data from 16 job openings.

Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate llm engineer salaries.

Below is a breakdown of salary data by years of experience:

Frequently asked questions

You need strong programming skills in languages like Python, proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), expertise in natural language processing (NLP), and a good understanding of algorithms and data structures. Problem-solving, analytical thinking, and collaboration skills are also essential for remote work.

Typically, a degree in computer science, data science, or a related field is required. Experience in machine learning or data engineering, along with a solid portfolio of projects, is often more important. Certifications in NLP or relevant technologies can be advantageous.

Responsibilities include developing and fine-tuning large language models, conducting experiments to improve model performance, analyzing and preprocessing data, collaborating with cross-functional teams, and documenting methodologies and findings. You'll also need to stay updated on advancements in machine learning and NLP.

Benefits include flexible working hours, the ability to work from any location, reduced commuting time and expenses, and improved work-life balance. Remote work also fosters global collaboration and access to diverse projects and teams.

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