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Junior Llm Researcher Jobs (NOW HIRING)

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

deciBel Research has an immediate opening for a Jr. Software Developer in Huntsville, AL.Position ... LLM) technologiesCreate scalable data models and services that support analytics, reporting, and ...

Qualis

AI Research Engineer

Sunnyvale, CA · On-site

... trained LLM's to new tasks and domains ensuring the best performance, quality and accuracy ... from junior-mid level and senior level -Strong with ML frameworks and Python - Extra curricular ...

Intuit

Senior Staff AI Research Scientist

Mountain View, CA · On-site

$226K - $306K/yr

You will mentor junior researchers, establish collaborations across the organization, and serve as ... LLM-based reasoning for business decision workflows * Drive research programs across multiple ...

Intuit

Senior Staff AI Research Scientist

San Diego, CA · On-site

$226K - $306K/yr

You will mentor junior researchers, establish collaborations across the organization, and serve as ... LLM-based reasoning for business decision workflows * Drive research programs across multiple ...

Intuit

Senior Staff AI Research Scientist

Mountain View, CA · On-site

$226K - $306K/yr

You will mentor junior researchers, establish collaborations across the organization, and serve as ... LLM-based reasoning for business decision workflows * Drive research programs across multiple ...

Intuit

Senior Staff AI Research Scientist

San Diego, CA

$226K - $306K/yr

You will mentor junior researchers, establish collaborations across the organization, and serve as ... LLM-based reasoning for business decision workflows * Drive research programs across multiple ...

Junior

Senior Product Manager

New York, NY · On-site

$190K - $230K/yr

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private ...

Junior

Product Manager

New York, NY · On-site

$170K - $190K/yr

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private ...

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Junior Llm Researcher information

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$29K

$57.7K

$124.5K

How much do junior llm researcher jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior llm researcher in the United States is $57,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a junior LLM researcher?

Junior LLM Researchers are early-career professionals who assist in the development, evaluation, and improvement of large language models (LLMs) like GPT or BERT. Their responsibilities often include data collection, model fine-tuning, conducting experiments, and analyzing results under the guidance of senior researchers. They typically have a background in computer science, machine learning, or related fields and work as part of research teams in academia or industry. This role helps them gain hands-on experience and deepen their understanding of natural language processing and AI research.

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

To thrive as a Junior LLM Researcher, a solid foundation in machine learning, natural language processing, and programming (typically Python) is essential, often backed by a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as PyTorch or TensorFlow and experience with large language model libraries like Hugging Face Transformers are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help researchers collaborate and convey complex ideas. These competencies are crucial for advancing research, developing innovative models, and contributing to the progress of AI technologies.

What are some typical challenges faced by junior LLM researchers when collaborating with senior team members?

Junior LLM Researchers often encounter challenges such as bridging the knowledge gap with more experienced colleagues and adapting to established research methodologies. Navigating complex discussions about model architectures or experimental design can be daunting, but these interactions offer valuable learning opportunities. Proactive communication and openness to feedback are essential, as is seeking clarification when needed. Most teams encourage knowledge sharing, so junior researchers are supported in their growth while contributing fresh perspectives to group projects.

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

AspectJunior Llm ResearcherData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some experience in NLP or MLBachelor's or higher in CS, Statistics, or related field; experience in data analysis and ML
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, finance, healthcare, or any industry using data analysis
Employer & Industry UsagePrimarily in AI research, academia, and R&D teamsAcross industries for data analysis, predictive modeling, and decision-making

The main difference is that Junior Llm Researchers focus on developing and improving large language models, often in research settings, while Data Scientists analyze data to inform business decisions. Both roles require a strong foundation in programming and ML, but their applications and focus areas differ.

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Junior Llm Researcher jobs near you
Infographic showing various Junior Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $57,652 per year, or $27.7 per hour.

Senior AI Engineer - LLM Systems & RAG Optimization

Texas Sports Academy

Remote

Contractor

Re-posted 2 days ago

Job description

Texas Sports Academy is on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. As we continue to push the boundaries of sports technology, your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches. You will be responsible for designing, developing, and fine-tuning LLM systems that can offer personalized insights and performance recommendations based on data-driven analysis. Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You will work collaboratively with data scientists, software engineers, and domain experts to implement scalable AI solutions that drive innovation in our training programs. If you are passionate about harnessing the power of AI to transform the sports industry and have a strong foundation in NLP and machine learning, this is the perfect opportunity for you to make an impact.
Responsibilities
  • Design and implement LLM systems tailored to the needs of athletes and coaches.
  • Optimize retrieval-augmented generation processes to improve the quality and relevance of AI-generated content.
  • Collaborate with cross-functional teams to define AI strategies and ensure alignment with business goals.
  • Conduct research on cutting-edge AI methodologies and integrate them into existing systems.
  • Monitor and evaluate system performance, making data-driven adjustments as necessary.
  • Mentor junior team members and help cultivate a culture of innovation within the department.
  • Document system architecture, processes, and best practices for future reference and team knowledge sharing.

Requirements
  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Extensive experience with Large Language Models (LLMs) and retrieval-augmented generation systems.
  • Proficient in programming languages such as Python, with a strong understanding of data structures and algorithms.
  • Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
  • Experience with optimizing AI models for efficiency and performance.
  • Strong analytical and problem-solving skills with the ability to work effectively in a fast-paced environment.
  • Exceptional communication skills to articulate complex concepts to stakeholders and team members.

Apply