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Generative Ai Training Jobs (NOW HIRING)

Will accept any suitable combination of education, experience and training * Mastery of modern generative AI tools (Flora.ai, ComfyUI, or similar platforms) with hands-on experience building custom ...

Generative AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

Generative AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

The Generative AI Platform Product team is building a scalable, next-generation platform that ... Support enablement efforts by helping create demos, training materials, and best-practice guides ...

The Generative AI Platform Product team is building a scalable, next-generation platform that ... Support enablement efforts by helping create demos, training materials, and best-practice guides ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... training, certifications, and education. Hearst provides a competitive benefits package, including ...

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Generative Ai Training information

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How much do generative ai training jobs pay per hour?

As of Jun 10, 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 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 are the key skills and qualifications needed to thrive in Generative AI Training, and why are they important?

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 is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData 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.

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.
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What states have the most Generative Ai Training jobs? States with the most job openings for Generative Ai Training jobs include:
Generative AI Strategist

$79K - $91K/yr

Other

Posted 27 days ago


Job description

Job Summary:
We are seeking a Generative AI Strategist to lead the exploration, adoption, and strategic implementation of generative AI technologies across our Air Force logistics programs. This senior advisory role will work directly with the Program Manager to develop and execute a roadmap for AI integration, balancing innovation with practical constraints of the DoD environment.
The ideal candidate combines deep technical expertise in GenAI architectures with the ability to evangelize, educate, and provide strategic guidance to cross-functional teams. You will help our organization understand where AI delivers value, where it doesn't, and how to navigate the gap between commercial AI capabilities and DoD-approved tools.
Job Duties and Responsibilities:
*This position is contingent upon contract award.*
  • Collaborate with the Program Manager to develop and maintain a comprehensive GenAI adoption roadmap
  • Lead systematic exploration of AI use cases across team productivity, service delivery, and new capability development
  • Conduct rigorous evaluations producing go/no-go recommendations with supporting analysis
  • Document exploration outcomes: what worked, limitations identified, implementation requirements, and cost-benefit analysis
  • Serve as the organization's primary advocate and educator for generative AI adoption
  • Help team members discover practical AI applications in daily work
  • Provide hands-on training, demonstrations, and implementation support
  • Work with delivery leads to identify AI opportunities in achieving program objectives
  • Guide teams in recognizing diminishing returns and making informed decisions about when AI adds value vs. when human effort is more efficient
  • Evaluate and recommend appropriate LLM models (Sonnet 4.5, GPT-5.2, etc.) and applications for specific use cases
  • Assess GenAI.mil capabilities and limitations
  • Design architectural solutions, including RAG implementations, document parsing pipelines, and agent-based systems
  • Lead development of program-level policies for AI ethics, data handling, and responsible use
  • Establish criteria and frameworks for evaluating when AI is not appropriate for a given use case
  • Ensure AI adoption aligns with DoD data strategy, security requirements, and compliance obligations
  • Create guidelines for validation and quality assurance of AI-generated outputs
  • Develop presentation materials explaining AI capabilities, limitations, and recommendations
  • Present findings and recommendations to program leadership and government clients
  • Translate complex technical concepts into executive-level strategic guidance
  • Support business case development for AI-enabled task orders and new service offerings

Job Requirements (Education/Skills/Experience):
What we're looking for...
  • Ability to obtain Secret clearance (required).
  • 7+ years in AI/ML roles with at least 3 years focused on generative AI and large language models
  • Hands-on experience with multiple LLM models (Anthropic Opus/Sonnet, OpenAI GPT-4/4.5, etc.) and understanding of their relative strengths and weaknesses, as well as use cases
  • Proficiency with AI applications (ChatGPT, Claude, Perplexity, etc.) and their distinctive features
  • Demonstrated experience designing and implementing AI architectures (RAG, document parsing, agent frameworks, prompt engineering)
  • Exceptional ability to explain complex technical concepts to non-technical audiences; experience developing and delivering executive presentations
  • Proven ability to evaluate technology against business objectives and provide balanced recommendations
  • Experience working within constraints (budget, technology, security) and proposing practical solution.

Even better if you have:
  • Experience in DoD, federal government, or highly regulated industries
  • Familiarity with DoD data management frameworks and security requirements
  • Background in enterprise architecture or data management
  • Experience with GenAI.mil or similar government-approved AI platforms
  • Track record of successful organizational change management and technology adoption initiatives
  • Understanding of Agile methodologies and working with cross-functional delivery teams

This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.