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Remote Llm Researcher Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Governance, Privacy and Security Lab is conducting research at the intersection of security ...

Redhat

Senior UX Researcher AI

Raleigh, NC · On-site +1

$118K - $195K/yr

Experience developing, evaluating, and using AI/LLM-based tools in a research context and think ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Firecrawl

Research Engineer - Evals

San Francisco, CA · On-site +1

$160K - $240K/yr

N/A for Remote About Firecrawl Firecrawl is the easiest way to extract data from the web ... Own LLM-as-judge pipelines. You'll design and validate automated judges that score extraction ...

Firecrawl

Product Researcher

San Francisco, CA · On-site +1

$160K - $230K/yr

San Francisco, CA or Remote (Americas, UTC-3 to UTC-10) Job Type: Full-Time Experience: 3+ years in ... Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single ...

Higharc

Research Engineer

Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

The Pennsylvania State University

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The project aims to understand LLM agents' ability to succeed in a bartering task. Time commitment ...

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All JobsRemote Llm Researcher Jobs

Remote Llm Researcher information

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$30K

$113.1K

$164.5K

How much do remote llm researcher jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote LLM Researcher, and why are they important?

To thrive as a Remote LLM Researcher, you need a strong background in machine learning, natural language processing, and deep learning, typically supported by an advanced degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience working with large language models (LLMs), and knowledge of distributed computing tools are commonly required. Outstanding problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for remote collaboration and research innovation. These skills enable effective development, evaluation, and deployment of advanced language models in a distributed team environment.

How do Remote LLM Researchers typically collaborate with cross-functional teams given their distributed work environment?

Remote LLM Researchers often work closely with data scientists, machine learning engineers, and product managers via virtual collaboration tools such as Slack, Zoom, and GitHub. Regular meetings, shared documentation, and project management platforms help maintain clear communication and alignment on research goals. Being proactive in sharing updates, seeking feedback, and participating in code reviews is essential for seamless teamwork. This collaborative approach ensures research findings can be effectively integrated into products and services, despite the physical distance.

What is the difference between Remote Llm Researcher vs Remote Data Scientist?

AspectRemote Llm ResearcherRemote Data Scientist
CredentialsAdvanced degrees in AI, NLP, or related fields; research experienceDegree in Data Science, Statistics, or Computer Science; often includes certifications
Work EnvironmentResearch-focused, often in AI labs or tech companies, remote options availableData analysis, modeling, and visualization tasks, remote or on-site
Industry UsageAI research, NLP development, machine learning innovationBusiness analytics, predictive modeling, data-driven decision making

Remote Llm Researchers focus on developing and improving large language models through research and experimentation, often in AI labs. Remote Data Scientists analyze data to generate insights and build predictive models. While both roles require strong technical skills, Remote Llm Researchers are more research-oriented, whereas Remote Data Scientists focus on applying data techniques to solve business problems.

What is a Remote LLM Researcher?

A Remote LLM Researcher is a professional who studies and develops large language models (LLMs), such as GPT or BERT, while working from a location outside of a traditional office setting. Their work typically involves conducting experiments, analyzing data, improving model architectures, and publishing findings in the field of natural language processing (NLP). Remote LLM Researchers often collaborate with colleagues online, use cloud-based computing resources, and contribute to advancements in AI language technologies. This role requires strong programming skills, a background in machine learning, and the ability to work independently in a distributed team environment.
More about Remote Llm Researcher jobs
What cities are hiring for Remote Llm Researcher jobs? Cities with the most Remote Llm Researcher job openings:
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Remote Llm Researcher jobs near you
Infographic showing various Remote Llm Researcher job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Senior ML Engineer, LLM / VLM Distillation

Senior ML Engineer, LLM / VLM Distillation

Waymo

Mountain View, CA • On-site, Remote

$213K - $263K/yr

Other

Posted 13 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and you will report to a Research Director of AI Foundations.

You will:

  • Work on distillation from large foundation models to smaller real-time models.
  • Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers.
  • Customize distillation data and recipe for business-critical Semantics tasks

You have:

  • Experience in building large-scale deep learning systems.
  • Experience in VLM/LLM models.

We prefer:

  • Experience in training or deploying multi-modal LLMs.
  • Distillation related experience.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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