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👉 Remote Jobs Network
13 Remote LLM Engineer Jobs
Explore flexible and work from home llm engineer positions available worldwide. Your career in truly remote companies - apply today.
Yesterday
Teramind
51 - 200
Design and deploy AI solutions for Teramind's insider risk management platform.
August 9
Mission Cloud
201 - 500
Leverage generative AI models to build internal products at Mission Cloud.
July 18
MCG Health
201 - 500
Develop customer-facing and internal AI solutions for MCG's healthcare content using large language models.
🇺🇸 United States – Remote
💵 $127.5k - $178.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🗣️ LLM Engineer
🗽 H1B Visa Sponsor
December 15, 2023
Emergex Vaccines
11 - 50
March 6, 2023
Moonhub
2 - 10
Top companies hiring remote llm engineers
MCG Health
Healthcare Consulting • Clinical Decision Support • Clinical admission criteria
201 - 500
Job Openings
Open Mesh - a Datto Company
Wireless Access Points • Wi-Fi • Cloud-Managed Networking
11 - 50
Job Openings
Remote llm engineer salary expectations
The average salary for remote llm engineers is $150,890 per year. This is based on data from 12 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:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level LLM Engineer (0 yrs) | 1 | $165,000 |
🟢 Junior LLM Engineer (1-2 yrs) | 1 | $107,182 |
🟡 Mid-level LLM Engineer (2-4 yrs) | 5 | $153,850 |
🟠 Senior LLM Engineer (5-9 yrs) | 5 | $153,850 |
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.