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Entry Level Llm Researcher Jobs (NOW HIRING)

Plantemoran

2028 International Tax Services Intern

Flint, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Researching developments within the international arena that may affect client businesses, both ... or tax, or LLM. * Completed the first two entry-level accounting courses and at a minimum ...

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Entry Level Llm Researcher information

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$30K

$113.1K

$164.5K

How much do entry level llm researcher jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level 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 is the difference between Entry Level Llm Researcher vs Legal Research Assistant?

AspectEntry Level Llm ResearcherLegal Research Assistant
Required CredentialsLLM degree or in progressTypically a bachelor's degree, some may have paralegal certification
Work EnvironmentAcademic, law firms, research institutionsLaw firms, corporate legal departments, government agencies
Employer & Industry UsageLegal research, policy analysis, academic projectsLegal support, case preparation, legal documentation

While both roles involve legal research, an Entry Level Llm Researcher usually holds an advanced law degree and focuses on in-depth legal analysis or academic projects. A Legal Research Assistant typically has a bachelor's degree and supports attorneys with case-related research and administrative tasks. The roles differ mainly in educational requirements and scope of responsibilities, but both are essential in legal and academic settings.

What are the key skills and qualifications needed to thrive as an entry level LLM researcher?

To thrive as an Entry Level LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree. Familiarity with programming languages (such as Python), deep learning frameworks (like PyTorch or TensorFlow), and version control systems is typically required. Critical thinking, curiosity, and the ability to collaborate effectively are important soft skills in this position. These skills and qualities are essential to contribute to cutting-edge research, solve complex problems, and work efficiently within research teams.

What are some common challenges faced by entry level LLM researchers when working on large language model projects?

Entry-level LLM researchers often encounter challenges such as understanding complex machine learning concepts, keeping pace with rapidly evolving research, and managing large datasets. They may also need to learn new frameworks and tools for model training and evaluation, as well as collaborate with more experienced researchers and engineers. Additionally, balancing independent research with team-driven goals and deadlines can require strong organizational and communication skills.

What is an entry level LLM researcher?

An Entry Level LLM Researcher is someone who assists in the development and analysis of large language models (LLMs) such as GPT, BERT, or similar AI systems. These researchers typically work under the guidance of more experienced scientists to gather data, run experiments, and evaluate model performance. They may also contribute to literature reviews, help with dataset curation, and support the implementation of research prototypes. This role is ideal for individuals with a background in computer science, machine learning, or related fields who are looking to gain hands-on experience in state-of-the-art AI research.
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Entry Level Llm Researcher jobs near you
Infographic showing various Entry Level Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Autonomy Software Engineering Internship, World Modeling

Persona AI

Houston, TX • On-site

Other

Posted 12 days ago

Job description

Job Title: Autonomy Software Engineering Intern, World Modeling
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026
FLSA: Exempt
Location: Houston, TX - Onsite
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in.
This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.
Your Role
  • Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
  • Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
  • Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
  • Develop synthetic data generation pipelines for post-training of humanoid world models
  • Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
  • Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
  • Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.
We're Looking For
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; entry level candidates are also welcome.
  • Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
  • Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
  • Working familiarity with at least one vision-language model, large language model, or video understanding model.
  • Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
  • Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
  • Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.
Preferred or Bonus Qualifications
  • Direct experience with NVIDIA Cosmos or comparable world foundation models.
  • Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
  • Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
  • Experience with motion capture data, egocentric video capture, or first-person dataset construction.
  • Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
  • Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
  • Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.
Why join Persona AI?
  • You'll work on technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive intern compensation, a flexible work environment, and meaningful technical mentorship.

Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Apply