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Remote Llm Researcher Jobs (NOW HIRING)

PIKA Inc

Multimodal LLM Researcher (MLLM)

Palo Alto, CA · On-site +1

Multimodal LLM Researcher (MLLM) About the Role At Pika, we are pioneering next-generation creative ... Flexible on-site/remote hybrid (HQ in Palo Alto, CA) About Pika Pika empowers creators by building ...

DeepRec.ai

Multimodal LLM Researcher

Palo Alto, CA · On-site +1

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

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

Upstart

Principal Engineer, LLM

OR · On-site +1

You will work closely with engineering leaders, ML researchers, and product stakeholders to ensure ... Remote USA/Canada with quarterly travel. Time zone requirements The team operates on the East/West ...

Turing

Remote Physics Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics ... Work on cutting-edge AI projects with leading LLM companies. Offer Details: * Pay rate: $100+/hour ...

Prolific

Forward Deployed Researcher

Strong knowledge of LLM evaluation methodologies, data collection design, and human feedback ... Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission ...

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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.

Multimodal LLM Researcher (MLLM)

PIKA Inc

Palo Alto, CA • On-site, Remote

Other

Medical, Retirement

Posted 24 days ago

Job description

Multimodal LLM Researcher (MLLM)
About the Role
At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We are seeking accomplished Multimodal LLM Researchers (LLM, VLM, and Audio LM) to drive forward our mission to make agentic real-time generative technology accessible, dynamic, and transformative for millions of creators.
As a core member of our research team, you will be integral to designing and building foundational technologies, developing novel approaches for large multimodal language models (LLMs/VLMs/Audio LMs), and orchestrating intelligent agentic systems that power scalable, interactive multimedia experiences. You will collaborate closely with engineering and product teams, shaping the future of real-time creative platforms.
What You'll Do
  • Lead and contribute to research efforts focused on real-time, multimodal generation-including text, image, video, and audio synthesis-as well as orchestration of agentic platform infrastructure
  • Design and prototype novel algorithms and architectures for high-fidelity, real-time multimodal synthesis and interactive experiences
  • Focus on real-time aspects of model inference and synthesis across modalities
  • Work on diffusion model distillation and/or develop diffusion-based world models for multimodal applications
  • Train and finetune autoregressive and diffusion models in LLM, VLM, or Audio LM contexts with a focus on real-time performance
  • Curate specific datasets, especially for video, audio, cross-modal, and sensory-rich data
  • Collaborate with cross-functional teams to bring research advancements into production-ready technologies
  • Publish work in top-tier conferences and journals; communicate research results internally and externally
  • Stay at the cutting edge of real-time multimodal generative AI and agentic orchestration
What We're Looking For
  • 5+ years of relevant experience, including research during graduate studies, in large language models, vision-language models, audio language models, deep learning, or related fields
  • Demonstrated impact as first author on major publications in top conferences or journals (e.g., NeurIPS, CVPR, ICML, ICCV, SIGGRAPH, Interspeech, etc.)
  • Deep expertise in at least one area: language modeling (LLM), vision-language modeling (VLM), or audio language modeling (Audio LM)
  • Strong experience with generative models, including autoregressive and diffusion models, and their real-time deployment
  • Hands-on experience curating, constructing, or augmenting large, high-quality multimodal datasets
  • Experience developing and deploying real-time systems and/or agentic orchestration infrastructure
  • Strong programming and prototyping skills (Python, PyTorch, TensorFlow, etc.)
  • Passion for building creative tools and platforms that empower users
  • Excellent communication and collaboration skills
What We Offer
  • Competitive salary and substantial equity in a high-growth startup
  • Full health benefits + 401k matching and more
  • Collaborative, mission-driven team environment with major growth opportunities
  • Flexible on-site/remote hybrid (HQ in Palo Alto, CA)

About Pika
Pika empowers creators by building state-of-the-art agentic and multimedia platforms. Our vision is to break down technical barriers to creativity, making real-time generative and intelligent orchestration accessible to all. Join us and shape the next evolution of creative technology!
If you are a leading researcher excited by real-time multimodal AI and agentic platforms, we want to hear from you.

Apply