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Remote Llm Researcher Jobs (NOW HIRING)

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ... Ability to work independently in a remote, fast-paced environment. Other Traits * Naturally curious ...

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... LLM research (as FAIR Linguists need to be contributing to research papers)

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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 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:
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
What states have the most Remote Llm Researcher jobs? States with the most job openings for Remote Llm Researcher jobs include:
What job categories do people searching Remote Llm Researcher jobs look for? The top searched job categories for Remote Llm Researcher jobs are:
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 AI Talent Sourcer

Kake Group

Austin, TX • Remote

Contractor

Posted 4 days ago

Job description

We're looking for an experienced Senior AI Talent Sourcer to join Kake's internal team and help build exceptional talent pipelines across AI and engineering domains.
In this role, you'll partner closely with recruiters and hiring stakeholders to identify, engage, and attract highly specialized talent, including AI trainers, evaluators, machine learning engineers, research engineers, AI researchers, domain experts, and other specialists contributing to cutting-edge AI initiatives.
If you thrive in complex talent markets, enjoy uncovering hard-to-find candidates, and excel at proactive sourcing strategies, we'd love to hear from you.
What You'll Do
  • Partner with recruiters and hiring stakeholders to understand hiring needs and define sourcing strategies.
  • Own end-to-end sourcing for AI and technical roles, building and maintaining high-quality talent pipelines.
  • Identify, engage, and nurture specialized talent including AI trainers, evaluators, machine learning engineers, research engineers, AI researchers, domain experts, and other specialists contributing to AI model development and evaluation.
  • Leverage a wide range of sourcing channels, including professional networks, technical communities, open-source ecosystems, research platforms, and emerging AI talent networks.
  • Conduct initial candidate assessments and provide insights on talent availability and candidate fit.
  • Maintain accurate candidate data and sourcing activity within the ATS.
  • Contribute to the development of scalable sourcing processes and best practices.

Core Requirements
  • 5+ years of experience sourcing AI, machine learning, LLM, research engineering, or related technical talent, with demonstrated success engaging highly specialized candidates in competitive markets.
  • Experience sourcing for AI training, model evaluation, generative AI, or other AI-focused programs.
  • Strong track record of building talent pipelines through proactive sourcing strategies.
  • Demonstrated ability to identify and engage talent through non-traditional sourcing channels.
  • Expertise in Boolean search, LinkedIn Recruiter, talent mapping, and sourcing research techniques.
  • Ability to assess and differentiate technical backgrounds across software engineering, machine learning, AI research, data science, and related disciplines.
  • Experience sourcing talent globally across multiple geographies, time zones, and talent markets.
  • Strong communication, organizational, and stakeholder management skills.
  • Ability to work independently in a remote, fast-paced environment.

Other Traits
  • Naturally curious and investigative, with a passion for uncovering hard-to-find talent.
  • Proactive, resourceful, and comfortable working independently.
  • Comfortable navigating ambiguity and evolving priorities.
  • Strong collaborator who builds effective partnerships with recruiters and stakeholders.
  • Continuously seeks to improve sourcing strategies, processes, and results.
Additional
  • US Timezone Overlap: 6h–7h daily CST

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.