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Generative Ai Training Placement Jobs (NOW HIRING)

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

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

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

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 ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... Creation of additional training data for machine learning models by applying transformations to the ...

Duke University

AI Training Analyst

Durham, NC · On-site

AI Training Analyst Be You. The Digital Experience & Academic Technology Solutions (DEATS) team is ... They have a demonstrated understanding of generative AI tools and their implications for workforce ...

Duke University

AI Training Analyst

Durham, NC · On-site

AI Training Analyst Be You. The Digital Experience & Academic Technology Solutions (DEATS) team is ... They have a demonstrated understanding of generative AI tools and their implications for workforce ...

Verisk

... training datasets and evaluating fine-tuned models against appropriate baselines. #LI-MB1 #LI ... Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Apex Systems

Generative AI Developer

Pleasanton, CA · On-site

Role Overview An experienced Generative AI Developer is sought to design, build, and deploy ... We offer quality career resources, training, certifications, development opportunities, and a ...

Verisk

Manager, Generative AI

Jersey City, NJ · On-site

$140K - $185K/yr

... training datasets and evaluating fine-tuned models against appropriate baselines. #LI-MB1 #LI ... Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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Generative Ai Training Placement information

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How much do generative ai training placement jobs pay per year?

As of Sep 15, 2026, the average yearly pay for generative ai training placement in the United States is $51,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is a generative AI training placement?

A Generative AI Training Placement is a structured program or internship where participants learn to develop, fine-tune, and implement generative AI models, such as those used for creating text, images, or other media. These placements typically blend hands-on experience with mentorship and coursework, allowing individuals to work on real-world AI projects. Participants often gain skills in machine learning, neural networks, and popular AI frameworks, preparing them for careers in the rapidly growing field of artificial intelligence.

What are the typical responsibilities and learning experiences in a generative AI training placement?

In a Generative AI Training Placement, participants typically engage in hands-on projects involving the development, fine-tuning, and evaluation of AI models, such as large language models or image generators. You may collaborate with data scientists, engineers, and product teams to preprocess datasets, experiment with model architectures, and analyze performance metrics. This placement often includes exposure to industry-standard tools and frameworks, and offers mentorship opportunities to help deepen your understanding of machine learning concepts. The experience is structured to provide both technical growth and real-world problem-solving skills, preparing you for advanced roles in AI development.

What are the key skills and qualifications needed to thrive as a generative AI training placement specialist, and why are they important?

To thrive as a Generative AI Training Placement specialist, you need strong foundations in machine learning, data analysis, and programming (often in Python), typically supported by a degree in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with large language models, and certifications in AI or data science are highly valuable. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively with cross-functional teams and stakeholders. These skills and qualifications are essential to ensure the successful development, deployment, and fine-tuning of generative AI models that meet organizational objectives.

What is the difference between Generative Ai Training Placement vs Data Scientist?

AspectGenerative Ai Training PlacementData Scientist
Required CredentialsRelevant degrees, certifications in AI/ML, programming skillsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentInternship or entry-level roles in AI development teamsResearch, analysis, and modeling in data-driven projects
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-intensive industries

Generative Ai Training Placement focuses on training and preparing individuals for roles in AI development, often as internships or entry-level positions. Data Scientists analyze data, build models, and derive insights. While both roles require programming and analytical skills, placements are more about learning and supporting AI model development, whereas Data Scientists lead data analysis projects.

How to get trained in generative AI?

To get trained in generative AI for a related job, individuals should pursue relevant education such as computer science or data science degrees, and gain skills in machine learning, deep learning, and programming languages like Python. Practical experience through online courses, tutorials, and projects using frameworks like TensorFlow or PyTorch is essential, along with understanding neural networks and natural language processing. Certifications in AI or machine learning can also enhance employability in this field.

What are popular job titles related to Generative Ai Training Placement jobs?

For Generative Ai Training Placement jobs, the most frequently searched job titles are:

Infographic showing various Generative Ai Training Placement job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $51,494 per year, or $24.8 per hour.

Instructor - Generative AI in Data Analytics

Remote

Fullstack Academy
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Fullstack Academyexternal

Part-time

Re-posted 28 days ago

Job description

About Us
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Position Overview
The Part-Time Instructor for Generative AI in Data Analytics plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect Generative AI concepts with real-world analytics and business intelligence applications. This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
Deliver live online training sessions on Generative AI applications in analytics.
Cover key topics including:
Generative AI in Analytics
  • Overview of Generative AI in data analytics
  • Role of AI in modern analytics workflows
  • Emerging trends and enterprise applications
AI-Driven Data Analysis
  • Data augmentation using AI-generated synthetic data
  • Generative AI for exploratory data analysis
  • AI-assisted data interpretation and insight generation
  • AI-driven data modeling and forecasting concepts
AI-Powered Visualization & Reporting
  • Generative AI for tailored data visualization
  • AI-assisted dashboarding and reporting workflows
  • Integration of AI into visualization pipelines

AI & Data Engineering Workflows
  • Optimization of ETL processes using AI tools
  • AI-assisted workflow automation concepts
  • Data preparation and transformation using AI-enabled tools

Ethics & Future Trends
  • Challenges and ethical considerations in integrating AI into analytics workflows
  • Responsible AI usage and governance concepts
  • Future trends and emerging applications in AI-driven analytics

Provide hands-on demonstrations using relevant AI and analytics tools.
Facilitate practical exercises, case studies, assignments, and project guidance.
Mentor learners and resolve technical or conceptual queries.
Conduct assessments, evaluations, and feedback sessions.
Maintain session quality metrics, learner engagement, and reporting standards.
Collaborate with internal teams on curriculum refinement and content enhancement initiatives.
Required Qualifications
  • Bachelor's degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related field
  • Industry experience applying Generative AI or AI-assisted analytics techniques
  • Strong understanding of data analytics workflows and tools
  • Familiarity with LLM-based tools, prompt engineering, or AI platforms
  • Prior experience delivering online or classroom training preferred
  • Excellent communication, facilitation, and presentation skills
  • Ability to explain AI concepts through practical analytics use cases

Preferred Skills
  • Experience with Python, SQL, or analytics ecosystems
  • Exposure to AI platforms and tools such as:
    • OpenAI's ChatGPT
    • OpenAI Playground
    • Hugging Face
    • Similar Generative AI platforms and LLM ecosystems
  • Experience integrating AI into visualization, reporting, or analytics pipelines
  • Certifications in AI, Data Analytics, or Data Science
  • Familiarity with AI-assisted automation and business intelligence workflows

Key Competencies
  • Ability to bridge AI concepts with practical analytics use cases
  • Strong learner engagement and facilitation capability
  • Structured and professional virtual delivery approach
  • Analytical and mentoring mindset
  • Strong problem-solving and communication skills
  • Adaptability to evolving AI technologies and analytics trends
Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Maintain regular communication with students regarding progress, expectations, and milestones.
Respond to student and staff communications in a timely and professional manner.
Provide clear, constructive, and timely feedback on assignments, assessments, and projects.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.
Support learner improvement plans and project readiness initiatives when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for learners pursuing AI and analytics careers.
Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)
Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
Flexibility for evening availability is required.
Compensation
The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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