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Entry Level Llm Training Jobs (NOW HIRING)

aicpa

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... field * Entry-level candidates and recent graduates with relevant coursework, research, or ... LLM implementations in test development and psychometrics * 0 - 1 years of experience in ...

CIMA

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

  • Medical

  • Retirement

  • PTO

... field * Entry-level candidates and recent graduates with relevant coursework, research, or ... LLM implementations in test development and psychometrics * 0 - 1 years of experience in ...

Plantemoran

2027 State and Local Tax (SALT) Intern

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As an intern, you'll be treated just like our entry level staff. You'll help instill confidence in ... Participate in various training programs to enhance your knowledge of taxes. The qualifications.

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Entry Level Llm Training information

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$48.8K

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

As of Aug 16, 2026, the average yearly pay for entry level llm training in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What is an entry level LLM training job?

Entry level LLM training jobs involve tasks that help train large language models (LLMs), such as data annotation, text classification, prompt writing, and evaluation of AI-generated content. People in these roles typically review, label, or curate datasets that are used to improve the accuracy and performance of LLMs. These positions are ideal for those interested in artificial intelligence and often do not require advanced technical skills, making them accessible starting points in the AI field. Entry level LLM training jobs can be remote, part-time, or contract-based, and are offered by AI companies, research labs, or data annotation firms.

What skills and qualifications are needed for an entry level LLM training specialist?

To thrive as an Entry Level LLM Training Specialist, you generally need a background in computer science, data annotation, or linguistics, often supported by a relevant degree or coursework. Familiarity with data labeling tools, version control systems like Git, and basic programming (Python) is typically required. Attention to detail, effective communication, and the ability to follow complex guidelines are crucial soft skills in this role. These competencies ensure accurate, high-quality data preparation, which directly impacts the performance and reliability of language models.

What challenges do entry level LLM training professionals face?

Entry-level professionals in LLM (Large Language Model) training often encounter challenges such as understanding complex data annotation guidelines, maintaining high accuracy while labeling vast datasets, and adapting to frequent updates in training protocols. Collaboration with data scientists and machine learning engineers is common, requiring effective communication skills to ensure consistency and quality. Over time, this role offers opportunities to develop expertise in AI and machine learning workflows, which can pave the way for advancement into more specialized AI research or engineering positions.

What is the difference between Entry Level Llm Training vs Paralegal?

AspectEntry Level Llm TrainingParalegal
Required CredentialsTypically a law degree or ongoing LLM courseworkAssociate degree or paralegal certificate
Work EnvironmentLegal research, academic settings, law firmsLaw firms, corporate legal departments, government agencies
Industry UsagePreparing for legal practice or specializationSupporting attorneys with legal tasks

Entry Level Llm Training focuses on advanced legal education and specialization, often preparing individuals for legal practice or academia. Paralegals assist attorneys with legal research, document preparation, and case management. While both roles support legal work, Entry Level Llm Training is more education-oriented, whereas paralegals are more involved in day-to-day legal support tasks.

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Entry Level Llm Training jobs near you
Infographic showing various Entry Level Llm Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $48,812 per year, or $23.5 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