1

Llm Ai Training Jobs (NOW HIRING)

LLM Red Team Specialist -- Failure Modes & Edge Cases Type: Contract Compensation: $60-$90/hour ... Experience in AI training , model evaluation, or benchmark/task authoring. Resources & Support

AI Ops Leader

Chicago, IL · On-site

$54.25 - $74.50/hr

Strong expertise in AI Ops / MLOps / LLM Ops practices * End-to-end model lifecycle management ... Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial ...

Responsibilities : • Scientific Review: review scientific papers alongside LLM-generated ... AI-related training or evaluation tasks • Background in scientific publishing or peer review ...

AI Ops Leader

Chicago, IL · On-site

$54.25 - $74.50/hr

Strong expertise in AI Ops / MLOps / LLM Ops practices * End-to-end model lifecycle management ... Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial ...

LLM Red Team Specialist -- Failure Modes & Edge Cases Type: Contract Compensation: $60-$90/hour ... Experience in AI training , model evaluation, or benchmark/task authoring. * High attention to ...

... LLM, AI Training, AI Evaluation, AI Data Annotation, AI Model Training, AI Quality Assurance, AI Content Review, AI Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical ...

... LLM, AI Training, AI Evaluation, AI Data Annotation, AI Model Training, AI Quality Assurance, AI Content Review, AI Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical ...

next page

Showing results 1-20

Llm Ai Training information

See salary details

$5

$17

How much do llm ai training jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for llm ai training in the United States is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.31 per hour, depending on experience, location, and employer.

What is LLM AI training?

LLM AI training refers to the process of teaching large language models (LLMs), like GPT or BERT, to understand and generate human-like text. This is done by exposing the model to vast datasets containing text from books, articles, websites, and more, so it can learn patterns, grammar, facts, and reasoning. The training involves complex algorithms and substantial computational resources, often requiring advanced hardware. As a result, LLM AI training enables these models to perform tasks such as answering questions, writing content, and summarizing information with impressive fluency.

What skills and qualifications are needed for LLM AI training?

To thrive as an LLM AI Training Specialist, you need expertise in machine learning, natural language processing, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and data labeling platforms, as well as knowledge of large language model architectures, is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with cross-functional teams and ensure high-quality training data. These skills and qualities are vital for building accurate, reliable AI models that perform well in real-world applications.

What are common challenges in LLM AI training and how can they be addressed?

Professionals in LLM AI training often face challenges such as curating high-quality, diverse datasets and ensuring ethical data usage. Balancing model performance with fairness and minimizing biases in training data is also crucial. Collaboration with data engineers, domain experts, and ethical review teams is essential to address these issues. Staying updated with the latest research and adopting robust validation techniques can help maintain model reliability and integrity.

What is the difference between Llm Ai Training vs Data Scientist?

AspectLlm Ai TrainingData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learningDegree in Data Science, Statistics, or related fields; programming skills
Work EnvironmentAI labs, tech companies, research institutionsBusiness, tech firms, research organizations
Industry UsageDeveloping and fine-tuning large language modelsAnalyzing data, building predictive models, data visualization

While both roles involve working with data and machine learning, Llm Ai Training focuses on developing and refining large language models, whereas Data Scientists analyze data to generate insights and build predictive models. The skills and work environments overlap, but their core objectives differ.

More about Llm Ai Training jobs

What cities are hiring for Llm Ai Training jobs?

Cities with the most Llm Ai Training job openings:

What states have the most Llm Ai Training jobs?

States with the most job openings for Llm Ai Training jobs include:

Infographic showing various Llm Ai Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

Software Engineer 3 - (Python, LLM, AI)

Akina, Inc.

Annapolis Junction, MD • Hybrid

$241K - $295K/yr

Full-time

Retirement, PTO

Re-posted 17 hours ago


Job description

Software Engineer 3 - (Python, LLM, AI)

Clearance: TS/SCI - Polygraph required
Position ID: 20-18-040-SWE3
Telework: Hybrid
Location: Annapolis Junction, Maryland

Description:

As a hybrid Analyst/Developer, you will utilize your experience in LLM’s and AI-Integrated Python pipelines to drive mission-critical initiatives. You will be part of every aspect of the development lifecycle of new tools and plugins, from conceptualization to deployment. Your core focus will be architecting agentic Python automations, conducting vulnerability research, and analyzing complex technical data. Furthermore, you will be responsible for innovating and documenting new tradecraft and managing strategic customer outreach.

  • Design and deploy agentic AI workflows that leverage autonomous planning and tool-use to streamline internal operations and improve system efficiency.
  • Design, develop, and maintain automated workflows using Python.
  • Conduct vulnerability analysis.
  • Develop and document tradecraft.
  • Execute on customer requests.
  • Perform customer outreach.

Position Required Skills:

  • Deep experience leveraging LLM’s to solve complex problems, including expertise in prompt engineering and model optimization.
  • Proven ability to integrate AI into automated pipelines and production workflows using API’s and orchestration tools.
  • Strong Python experience.
  • Data parsing/manipulation.
  • Networking knowledge and protocols.
  • Experience with open source research.
  • Knowledge of end-to-end SIGINT collection and analysis systems.
  • Familiarity with Git.
  • Atlassian Tools (Jira, Confluence).

Nice to Haves

  • Experience with production CNO capabilities and operations.

SWE3 Qualifications:

A minimum of twelve (12) years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four ( 4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Salary Range: $241k-$295k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers