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Remote Llm Researcher Jobs (NOW HIRING)

Horizon3.ai

Staff Attack Engineer, AI/LLM

  • Medical

  • Dental

  • Vision

  • PTO

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of ... Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial ...

Mercor

LLM Red Team Specialist - AI

New York, NY · On-site +1

$60 - $90/hr

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... Share insights with researchers to enhance benchmark quality. * Work independently and ...

Mercor

Project Manager - LLM Specialist

New York, NY · Remote

$50 - $60/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Role Responsibilities * Track project and annotator performance using Google Sheets

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

This is a REMOTE opportunity The AI Research Engineer advances Digital Safety mission by designing ... Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs ...

Nvidia

$135K - $181K/yr

Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ... Excellent communication skills and prior experience leading cross-functional efforts with research ...

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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 Aug 16, 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.
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Remote Llm Researcher jobs near you
Infographic showing various Remote Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Researcher - Fully Remote | Upto $120/hr

Mercor

San Francisco, CA • Remote

$120/hr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote

Role Responsibilities

  • Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
  • Optimize models for limited data, compute, and model-size budgets.
  • Enhance model robustness against adversarial inputs and conversations.
  • Compress models to meet size and latency constraints without losing accuracy.
  • Diagnose and resolve training issues to improve model performance.

Qualifications

Must-Have

  • 3+ years of machine learning research experience (PhD research counts).
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
  • Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

Preferred

  • Experience with Adversarial Robustness and Efficient Computer Vision.
  • Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness.
  • Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.