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Assistant Llm Training Jobs (NOW HIRING)

JPMorganChase

AI/LLM SRE Lead Software Engineer

Columbus, OH · On-site

$55 - $73.25/hr

Required : • Formal training or certification on software engineering concepts and 5+ years ... Preferred : • Experience with AI-powered coding assistants like GitHub Copilot, windsurf. • ...

University of Florida

AST/ASO/FULL PROF

Gainesville, FL · On-site

Assistant/Associate/Full Professor Classification Minimum Requirements: * a Ph.D. in computer ... Familiarity with LLM in-context learning and prompt engineering * Basic understanding of modern LLM ...

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How much do assistant llm training jobs pay per hour?

As of May 29, 2026, the average hourly pay for assistant llm training in the United States is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant LLM Training Specialist, and why are they important?

To thrive as an Assistant LLM Training Specialist, you need a solid understanding of machine learning concepts, data preprocessing, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with data annotation tools are typically required. Strong attention to detail, problem-solving skills, and the ability to collaborate effectively with data scientists and engineers set standout candidates apart. These competencies ensure the accurate preparation and management of data crucial for developing effective large language models.

What are some typical challenges faced by Assistant LLM Training professionals, and how can they be addressed?

Assistant LLM Training professionals often encounter challenges such as ensuring high-quality data annotation, managing large and complex datasets, and keeping up with evolving model requirements. Effective communication with data scientists and engineers is crucial to align on project goals and annotation standards. Staying organized and proactive in seeking feedback can help address ambiguities in training data, while continuous learning about new tools and best practices in machine learning annotation can further enhance overall performance.

What are Assistant LLM Training jobs?

Assistant LLM Training jobs typically involve supporting the development, fine-tuning, and evaluation of large language models (LLMs) like GPT or similar AI systems. Individuals in these roles may help gather and curate training data, annotate or review outputs, and assist in testing model performance. They often work closely with machine learning engineers and data scientists to ensure the LLMs produce accurate, ethical, and high-quality responses. These positions may also include monitoring for biases, suggesting improvements, and maintaining documentation related to model training.

What is the difference between Assistant Llm Training vs Data Annotator?

AspectAssistant Llm TrainingData Annotator
Required CredentialsTypically a degree in AI, computer science, or related fieldHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote, collaborative with AI teamsMostly remote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search & ComparisonOften compared for roles supporting AI trainingCompared for data labeling and annotation tasks

Assistant Llm Training involves preparing and fine-tuning language models, requiring technical skills and relevant degrees. Data Annotator focuses on labeling data to train AI models, often with minimal formal credentials. Both roles support AI development but differ in technical complexity and responsibilities.

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What cities are hiring for Assistant Llm Training jobs? Cities with the most Assistant Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Assistant Llm Training jobs? States with the most job openings for Assistant Llm Training jobs include:
What job categories do people searching Assistant Llm Training jobs look for? The top searched job categories for Assistant Llm Training jobs are:
Assistant Llm Training jobs near you
Infographic showing various Assistant Llm Training job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.
Principal CNO Software Engineer

Principal CNO Software Engineer

GliaCell Technologies

Annapolis Junction, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.***
Are you a Principal CNO Software Engineer who is ready for a new challenge that will launch your career to the next level?

  • Tired of being treated like a company drone?
  • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?
  • Our engineers were certainly tired of the same.  

At GliaCell our slogan is “We make It happen”.

  • We will immerse you in the latest technologies.
  • We will develop and support your own personalized training program to continue your individual growth. 
  • We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. 

Culture isn’t something you need to talk about…if it just exists. 

If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.

We Make It Happen!

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.

GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

We Offer:

  • Long term job security
  • Competitive salaries & bonus opportunities
  • Challenging work you are passionate about
  • Ability to work with some amazingly talented people

Job Description:

GliaCell is seeking a Principal CNO Software Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

  • You will be supporting CNO development across many development groups by designing, developing, and integrating tools to assist in development activities.
  • Having a deep understanding of the customer's mission, dataflow, and tooling is critical to this position.
  • You will be expected to provide guidance and vision as you work with mission stakeholders and software engineers to specify, develop, integrate, and test new workflows aided by AI/ML technologies.

Responsibilities: 

  • Lead a project from inception to delivery in the CNO domain, including; problem decomposition, design, development, deployment, and maintenance of applications.
  • Interact with mission stakeholders to elicit requirements and devise solutions.
  • Collaborate with other software engineers to test workflows, identify issues, and recommend pathways for fixes.
  • Collaborate with stakeholders to understand and address real-world reverse engineering challenges.
  • Overcome inevitable obstacles.

Key Requirements:

To be considered for this position you must have the following:

  • Possess an active or rein-statable TS/SCI with Polygraph security clearance. 
  • U.S. Citizenship.
  • Professional/Education experience: 12 years & Bachelors of Science Degree, or 4 additional years in place of a BS Degree. 
  • Works well independently as well as on a team. 
  • Strong communication skills. 

Required Skills:

  • Production-grade software development experience in Python.
  • Experience within the CNO developer domain developing tools for operational use.
  • Experience with development of AI systems and customizing of AI models/
  • Practical experience with platforms for processing Agency data sets.
  • Experience with software source control (git) and Atlassian tool suite - Jira, Confluence.
  • Experience interacting with stakeholders to elicit requirements.
  • Knowledge of Python or similar scripting languages

Desired Skills:

  • Experience working as a lead for a development team.
  • Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs and LLM Training).
  • Knowledge of end-to-end SIGINT collection and analysis systems.
  • Experience with production CNO capabilities and operations.
  • Familiarity with cloud computing technologies (AWS, Docker, Kubernetes).
  • Experience with web application/UI development.

Location: Annapolis Junction, MD (onsite full time)

Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE.

Benefits:

  • CareFirst Medical Coverage for Employee and Dependents 
  • Guardian Dental and Vision Coverage for Employee and Dependents 
  • Up to 25 Days of Paid Time Off
  • Up to 40 hours of PTO Carryover
  • 11 Federal Government Holidays
  • Work From Home Opportunities
  • 401K Company Contribution, Fully Vested Day 1
  • Discretionary, Certification, and Sign-On Bonus Potential 
  • Employee Referral Bonus Program 
  • Annual Professional Development 
  • 100% Premium Covered for Life & Disability Insurances
  • Additional Voluntary Life Insurance Coverage Available 
  • Employee Assistance Program
  • Travel Protection Program
  • Financial Planning Assistance 
  • Bereavement and Jury Duty Leave
  • Monthly Team and Family Events
  • Technology Budget
  • Global Entry
  • Annual Swag Budget

Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/

To apply for this position, respond to this job posting and attach an updated resume for us to review. 

GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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