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Llm Ai Training Jobs (NOW HIRING)

Horizon3.ai

Staff Attack Engineer, AI/LLM

Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling ... Build and extend LLM-powered applications (prompting, structured output, agentic workflows)

Cliff Services Inc

AI/LLM Eng

Jersey City, NJ · On-site

AI/LLM Eng 12+ Months New jersey Must have experience in: Large Language Models (OpenAI/Azure ... training, fine-tuning, evaluation PyTorch/TensorFlow) Good to have: Cloud (Azure/AWS/Google Cloud ...

Mercor

Finance SME - AI Evaluation Expert

New York, NY · Remote

$65 - $90/hr

Collaborate with other subject matter experts to ensure consistency and accuracy in training data ... Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring ...

New

myspss

Solutions Engineer

Paul, ID

LLM & AI Integration * Integrate large language model APIs (e.g., OpenAI GPT-5, Anthropic Claude ... Provide training and documentation to support end-user adoption of newly deployed tools.

myspss

Solutions Engineer

Paul, ID · On-site

LLM & AI Integration * Integrate large language model APIs (e.g., OpenAI GPT-5, Anthropic Claude ... Provide training and documentation to support end-user adoption of newly deployed tools.

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system ... Tell us about an LLM inference or training project that makes you proud! Whether you've optimized ...

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How much do llm ai training jobs pay per hour?

As of Aug 9, 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 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.

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 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.
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Llm Ai Training jobs near you
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, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

Neuroscience - AI Training - Oklahoma City, US

Prolific

Remote

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Prolific is building the biggest pool of quality human data in the world, and they are seeking Neuroscience Experts to evaluate AI-generated outputs. The role involves reviewing scientific papers and ensuring the accuracy of AI-generated graphical abstracts, directly influencing how AI understands and summarizes complex research.
Responsibilities:
• review scientific papers alongside LLM-generated graphical abstracts.
• identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
• use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
Qualifications:
Required:
• Deep expertise in Neuroscience
• Master's or PhD in Neuroscience or a related field
• History with fact-checking tasks
• Strong attention to detail
Preferred:
• Previous experience with AI-related training or evaluation tasks
• Background in scientific publishing or peer review
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.

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