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Training Ai Models Jobs (NOW HIRING)

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Graphic Designer

$20 - $65/hr

Graphic Designer - Ai trainer Job Type: Permanent Location: Remote Compensation: $20 - $65/hour-pay ... Develop, annotate, and curate high-quality graphic design datasets to train and enhance AI models.

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How much do training ai models jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for training ai models in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

What are some common challenges faced when training AI models, and how are they addressed on the job?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a Training AI Models job?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are the key skills and qualifications needed to thrive in the Training Ai Models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

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Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

AI & ML Engineer with Security Clearance

STEM Solutions & Consultants LLC

Fairfax, VA

Other

Posted 13 days ago

Job description

AI & ML Engineer Job Description: As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. As a machine learning engineer on our autonomy team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be responsible for the end-to-end training and deployment of edge LLMs and SLM, starting from data gathering or generation to training via LoRA, SFT, and unsupervised training like RL. Work with us to solve real-world challenges and define ML strategy for the U.S.

military and operators. Join us. The world can't wait.

You Have: 4+ years of experience with ML and AI 3+ years of experience training AI models, and with GenAI, including fine-tuning Experience performing distributed training across large GPU clusters Experience with LangChain, LangGraph, AutoGen, or LlamaIndex Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration Experience in RAG architecture Knowledge of graphs, including Neo4j or NebulaGraph Knowledge of modern software design patterns, including microservice design or edge computing Ability to obtain a Secret clearance Bachelor's degree in a CS or AI field Nice If You Have: Experience generating datasets for LLM or SLM fine-tuning Experience deploying models to compute-constrained environments * Master's degree in a CS, AI, or related field preferred; Doctorate degree in CS, Statistics, or a related field a plus

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