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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 ...

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 ...

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 ...

Turing

Lead Forward Deployed Fullstack Engineer

Dallas, TX · On-site

$220K - $250K/yr

This is not a role for pure AI/ML specialists or narrow LLM researchers. We need a utility player ... in mentoring junior developers, driving architectural decisions, and elevating engineering ...

Junior

Lead 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

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 ...

eClerx

Junior AI Engineer

New York, NY

$100K - $120K/yr

Create RAG pipelines to ground LLM outputs in approved knowledge sources (policies, SOPs ... Personal projects, open-source contributions, or research on ML or applied ML * Experience building ...

eClercx

Junior AI Engineer

New York, NY · On-site

$100K - $120K/yr

Create RAG pipelines to ground LLM outputs in approved knowledge sources (policies, SOPs ... Personal projects, open-source contributions, or research on ML or applied ML * Experience building ...

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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 Aug 11, 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.

More about Junior Llm Researcher jobs
What cities are hiring for Junior Llm Researcher jobs? Cities with the most Junior Llm Researcher job openings:
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
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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 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $57,652 per year, or $27.7 per hour.

Software Engineer (Language Modeling), BS+12 yrs

Link, LLC

Columbia, MD

Full-time

Re-posted 22 days ago

Job description

Description: We are seeking a highly skilled and motivated Sr. LLM Engineer to join our team in driving the advancement of our Language Model infrastructure. As a key member of our AI/ML team, you will be responsible for the training, hosting, and optimization of Large Language Model (LLM) instances within our compute environment. The ideal candidate should possess a strong passion for pushing the boundaries of language technology, a deep understanding of LLM architectures, and the grit to tackle complex challenges head-on. This role requires a self-reliant individual with a drive to identify and fix inefficiencies, constantly striving to improve the codebase and optimize model performance. If you thrive in a fast-paced environment and have an unwavering commitment to delivering cutting-edge language solutions, this position is for you.
Responsibilities:
       Design, develop, and maintain the infrastructure for training, hosting, and serving LLM instances.
       Optimize model training pipelines to achieve high performance and resource efficiency.
       Implement and integrate state-of-the-art LLM architectures and techniques.
       Collaborate with cross-functional teams to understand business requirements and deliver impactful language solutions.
       Monitor and analyze model performance metrics, identifying areas for improvement and implementing optimizations.
       Develop and maintain documentation, best practices, and coding standards for LLM development and deployment.
       Stay up-to-date with the latest advancements in LLM research and industry trends, and incorporate them into our projects.
       Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing.
Skills Requirements:
       12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
       Degree in Computer Science, Artificial Intelligence, or a related field.
       Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
       Proficiency in programming languages such as Python, C++, or Java.
       Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
       Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
       Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
       Excellent problem-solving and debugging skills.
       Strong communication and collaboration abilities to work effectively with cross-functional teams.
Nice to Haves:
       Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, or a related field.
       Proven track record of implementing and deploying large-scale LLM systems in production environments.
       Experience with distributed computing frameworks like Apache Spark or Hadoop.
       Experience with natural language understanding, generation, and dialogue systems.
       Familiarity with techniques such as transfer learning, few-shot learning, and reinforcement learning.
       Contributions to open-source projects or research publications in the field of LLMs.
       Experience with serving models using APIs and building scalable inference pipelines.
       Knowledge of DevOps practices and tools like Docker, Kubernetes, and Jenkins.
YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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