Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
New
TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
New
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Generative AI Engineer
Colleyville, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Generative AI Engineer
Colleyville, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Generative AI Engineer
Bedford, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
New
Generative AI Engineer
Bedford, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
New
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Generative AI Engineer
Duncanville, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Generative AI Engineer
Duncanville, TX · On-site
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...
Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026
Santa Clara, CA · On-site
... training data for Generative AI and Physical AI systems • Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training • Scale and optimize large-scale training ...
Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026
Santa Clara, CA · On-site
... training data for Generative AI and Physical AI systems • Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training • Scale and optimize large-scale training ...
Generative AI Expert (Remote)
Philadelphia, PA · On-site +1
Proven experience in developing educational content, curriculum, or training materials related to ... of Generative AI. * Collaborative mindset, with the ability to work effectively with cross ...
Generative AI Expert (Remote)
Philadelphia, PA · On-site +1
Proven experience in developing educational content, curriculum, or training materials related to ... of Generative AI. * Collaborative mindset, with the ability to work effectively with cross ...
Generative AI Architect
Charlotte, NC · On-site
$61.50 - $81/hr
Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... training, and multimodal AI. o Prototype custom models using frameworks like LangChain, PyTorch ...
Quick apply
Generative AI Architect
Charlotte, NC · On-site
$61.50 - $81/hr
Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... training, and multimodal AI. o Prototype custom models using frameworks like LangChain, PyTorch ...
Generative AI Architect
Jersey City, NJ · Hybrid
$69 - $90.75/hr
Provide training and mentorship to junior team members and clients on GenAI technologies and best practices. Qualifications: * Minimum of 5 years of experience in AI/ML, with a focus on generative ...
New
Quick apply
Generative AI Architect
Jersey City, NJ · Hybrid
$69 - $90.75/hr
Provide training and mentorship to junior team members and clients on GenAI technologies and best practices. Qualifications: * Minimum of 5 years of experience in AI/ML, with a focus on generative ...
New
Generative Ai Training information
See salary details
$5.29 - $8.78
0% of jobs
$8.78 - $12.28
2% of jobs
$12.28 - $15.78
13% of jobs
$15.78 - $19.27
8% of jobs
$20.29 is the 25th percentile. Wages below this are outliers.
$19.27 - $22.77
6% of jobs
$22.77 - $26.27
5% of jobs
$26.27 - $29.76
4% of jobs
The median wage is $31.08 / hr.
$29.76 - $33.26
29% of jobs
$35.08 is the 75th percentile. Wages above this are outliers.
$33.26 - $36.76
13% of jobs
$36.76 - $40.25
11% of jobs
$40.25 - $43.75
8% of jobs
$5
$29
$43
How much do generative ai training jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for generative ai training in the United States is $29.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $36.06 per hour, depending on experience, location, and employer.
What is generative AI training?
Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
What are the key skills and qualifications needed to thrive in generative AI training?
To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.
What are some common challenges faced by professionals working in generative AI training roles?
Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.
What is the difference between Generative Ai Training vs Data Scientist?
| Aspect | Generative Ai Training | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of AI models, programming, machine learning | Statistics, programming, data analysis |
| Work Environment | AI development teams, tech companies, research labs | Business, finance, tech firms, research institutions |
| Industry Usage | Developing generative models like GPT, DALL·E | Data analysis, predictive modeling, insights generation |
Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.
More about Generative Ai Training jobs
What cities are hiring for Generative Ai Training jobs?
Cities with the most Generative Ai Training job openings:
What states have the most Generative Ai Training jobs?
States with the most job openings for Generative Ai Training jobs include:
What job categories do people searching Generative Ai Training jobs look for?
The top searched job categories for Generative Ai Training jobs are:
Full-time
Posted 16 days ago
Job description
We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks.
Roles and Responsibilities-
Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements.
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Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions.
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Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity.
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Develop and optimize machine learning, deep learning, and NLP models for enterprise applications.
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Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques.
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Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics.
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Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development.
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Develop scalable AI solutions that integrate with enterprise applications and cloud platforms.
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Participate in model testing, deployment, monitoring, and continuous improvement.
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Contribute to AI best practices, technical documentation, and knowledge sharing across teams.
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Strong proficiency in Python with major machine learning and deep learning libraries.
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Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models.
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Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning.
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Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs).
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Experience with data preprocessing, feature engineering, SQL, and data manipulation.
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Familiarity with AI model evaluation, optimization, and hyperparameter tuning.
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Strong analytical, problem-solving, and communication skills.
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Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
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Experience developing AI applications in both on-premises and cloud environments.
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Knowledge of CI/CD pipelines and AI application deployment practices.
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Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures.
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
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Experience designing, developing, and deploying enterprise AI or Generative AI solutions.
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Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment.