Director of AI Training ( AI Systems, Agents & Custom AI Development)

Note: This is a 3 month contract to permanent position

Company: AI Viation
Website: www.aiviation.org

Mission: Empowering learners globally with affordable, hands-on AI education.

AI Viation is a global Artificial Intelligence education organization dedicated to providing high-quality, affordable AI training to students, professionals, and small businesses worldwide. Our mission is to make AI accessible to everyone by combining practical tools, guided learning, and real-world application. Through this internship, participants will become part of our mission to democratize AI learning across the globe.

Job Title: Director of AI Training( AI Systems, Agents & Custom AI Development)

Department: AI Education & Training

Employment 3 Month - Contract to Permanent

Location: Remote

Position Overview

Job Title: Director of AI Training (AI Systems, Agents & Applied AI Education)

Department

AI Education & Training

Reports To

Chief Executive Officer

Employment Type

Contract

Location

On-site / Hybrid / Remote

Position Overview

The Director of AI Training will lead the development and delivery artificial intelligence training programs. This role oversees the design and delivery of AI education that teach learners how to move from basic AI usage to advanced AI system development, automation, custom AI assistants, and enterprise-level AI deployment.

The Director must possess strong expertise across leading AI platforms, open-source AI models, automation systems, AI agents, and real-world AI implementation strategies. The position requires a combination of technical depth, strategic leadership, and educational program design.

A key responsibility of the role includes training students and professionals on how to customize, fine-tune, and deploy open-source AI models and AI Agents.

Key Responsibilities

1. Strategic Leadership of AI Training Programs

• Lead the strategic direction of AI training programs and certifications.

• Develop scalable AI education frameworks covering beginner to advanced implementation levels.

• Oversee curriculum development and ensure alignment with the latest AI technologies and research.

• Establish measurable competency standards for AI learners.

2. Curriculum Design & Instructional Leadership

Develop and maintain structured training programs covering:

AI Foundations

• Introduction to artificial intelligence systems

• Large language model architecture

• AI capabilities and limitations

• Responsible AI usage and governance

Prompt Engineering

• Zero-shot prompting

• Few-shot prompting

• Chain-of-thought reasoning

• Structured outputs (JSON, CSV, APIs)

• Prompt optimization frameworks

• Hallucination reduction techniques

AI Workflow Design

• Identifying automation opportunities

• Designing AI-powered productivity workflows

• Integrating AI into business processes

3. Large Language Model Expertise

Hands-on operational expertise in:

• ChatGPT by OpenAI

• Gemini by Google

• Claude by Anthropic

Training capabilities include:

• Model capability comparisons

• Context window optimization

• Multimodal AI usage

• Structured output generation

• Tool integrations

• Reliability and hallucination mitigation

4. Custom AI Assistants & AI System Development

The Director must have practical experience designing customized AI assistants.

Custom GPT Development

Using ChatGPT:

• Instruction engineering

• Knowledge base integration

• Custom tools and API integration

• Workflow-specific AI assistants

• AI persona configuration

• Guardrail design and safety

Gemini Gems

Custom AI assistants built using Gemini:

• Domain-specific assistants

• Context injection

• Workflow automation assistants

• Enterprise use-case configuration

Claude-Based Custom Workflows

• Long-context reasoning

• Research assistants

• Document-grounded AI systems

5. Open-Source AI Model Training & Customization

A major component of the program involves teaching students to work with open-source AI models such as:

• Llama 4

Training modules should include:

Model Training & Fine-Tuning

• Understanding transformer architectures

• Model weights and tokenization

• Dataset preparation and cleaning

• Instruction tuning

• Parameter-efficient fine-tuning (PEFT)

• LoRA and QLoRA techniques

• Domain-specific model customization

Infrastructure & Deployment

• GPU requirements and compute planning

• Running models locally and in the cloud

• Model serving infrastructure

• Containerized AI deployment

• Inference optimization

Practical Custom Use Cases

• Industry-specific AI assistants

• Legal research assistants

• Financial analysis assistants

• Medical knowledge assistants

• Enterprise knowledge copilots

• AI-powered internal company tools

Safety & Governance

• Dataset bias evaluation

• Safety alignment

• Guardrail implementation

• Responsible open-source AI deployment

6. AI Workflow Automation & Integration

Hands-on experience required with automation tools such as:

• n8n

• Zapier (automation platform)

• Make (automation platform)

• Hermes

• OpenClaw

Training includes:

• AI-driven automation pipelines

• Trigger-based workflows

• API integrations

• CRM automation systems

• AI-powered dashboards

• Monitoring and logging automation systems

7. Web Scraping & AI Data Pipelines

Training must include:

• Python-based web scraping

• AI-assisted scraping script generation

• Data extraction from:

  • Websites

  • PDFs

  • Public databases

• Data cleaning and structuring

• Scraping-to-AI pipelines

• Ethical scraping practices and compliance

Example projects:

• Market intelligence automation

• Competitive pricing monitoring

• Lead database generation

• Research data mining

• Automated Messaging

8. AI Agents & Autonomous Systems

Expertise in designing and teaching:

• Autonomous AI agents

• Tool-using AI systems

• Multi-agent architectures

• Retrieval-Augmented Generation (RAG)

• AI copilots for internal business operations

Example training implementations:

• AI research agents

• AI customer support agents

• AI document processing agents

• AI operations assistants

9. Automated Messaging & Communication Systems

Training programs should include automated messaging systems using platforms such as:

• WhatsApp

• Microsoft Teams

• Telegram

Capabilities taught include:

• AI chatbot design

• Automated customer communication

• Lead qualification bots

• CRM-integrated messaging workflows

• AI-powered broadcast messaging

• Automated support systems

Example workshop projects:

• AI-powered onboarding systems

• Course notification systems

• Appointment scheduling bots

• AI-driven outreach automation

Leadership & Management Responsibilities

• Oversee curriculum quality and updates

• Establish instructional standards

• Train beginners and guide them to become experts

Required Qualifications

• Bachelors or Masters degree in Computer Science, AI, Data Science, Engineering, or related field (or equivalent experience)

• 25+ years of applied AI experience

• Experience developing AI workflows or AI systems

• Experience designing and delivering technical training programs

• Leadership experience managing technical teams

Key Competencies

• Deep expertise in modern AI systems

• Strong curriculum design capability

• Systems-thinking mindset

• Ability to simplify complex technical concepts

• Strategic leadership ability

• Continuous learning in rapidly evolving AI ecosystem

Performance Metrics

• Student implementation success rate

• AI systems built by learners

• Adoption of AI workflows by students