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Llm Ai Training Jobs (NOW HIRING)

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 ...

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 ...

AI / ML Engineer with LLM

$117K - $140K/yr

... applications, and LLM fine-tuning • Experience working with VectorDBs and other data ... Generative AI training pipelines and production applications • Experience training and ...

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.

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.

Design reference architectures for secure LLM/AI agent deployments across Azure, AWS, or hybrid ... Provide training and guidance on responsible AI, secure agent design, and safe prompt engineering.

Synthesize high-complexity problem sets that push the limits of current LLM reasoning * Develop and answer Math-related questions to refine AI understanding * Evaluate and author complex reasoning ...

Large Language Models (LLM) & AI Training In this role, you help "teach" AI how to think and communicate. You will interact with cutting-edge AI systems to test their accuracy and refine their logic.

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Experience designing and implementing end-to-end training pipelines, including data shaping, model ...

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Llm Ai Training information

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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.

Retail SME - AI Evaluation Expert

Mercor

New York, NY • Remote

$60 - $80/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Retail Specialist
Type: Contract
Compensation: $60–$80/hour
Location: Remote

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in retail merchandising, category management, and operations reasoning.
  • Design challenging, domain-relevant retail tasks and write accurate, well-reasoned solutions grounded in real retail practice.
  • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
  • Develop and refine evaluation guidelines and scoring rubrics specific to retail tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 8+ years of dedicated professional experience in retail (e.g., merchandising, category management, retail operations, buying/planning) at a recognized, top-tier organization (e.g., Amazon, Walmart, Target, Nike, Costco, Home Depot, or equivalent).
  • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application.
  • Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of Merchandising).
  • Ability to engage reliably for at least 35 hours/week during weekdays.
  • Verbal and written communication skills, problem-solving skills, and interpersonal skills.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.