Aiviation

Note: This is a 3 month contract to permanent positionCompany: AI ViationWebsite: www.aiviation.orgMission: 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 & TrainingEmployment 3 Month - Contract to PermanentLocation: RemotePosition OverviewJob Title: Director of AI Training (AI Systems, Agents & Applied AI Education)DepartmentAI Education & TrainingReports ToChief Executive OfficerEmployment TypeContractLocationOn-site / Hybrid / RemotePosition OverviewThe 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 Responsibilities1. Strategic Leadership of AI Training ProgramsLead 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 LeadershipDevelop and maintain structured training programs covering:AI FoundationsIntroduction to artificial intelligence systemsLarge language model architectureAI capabilities and limitationsResponsible AI usage and governancePrompt EngineeringZero-shot promptingFew-shot promptingChain-of-thought reasoningStructured outputs (JSON, CSV, APIs)Prompt optimization frameworksHallucination reduction techniquesAI Workflow DesignIdentifying automation opportunitiesDesigning AI-powered productivity workflowsIntegrating AI into business processes3. Large Language Model ExpertiseHands-on operational expertise in:ChatGPT by OpenAIGemini by GoogleClaude by AnthropicTraining capabilities include:Model capability comparisonsContext window optimizationMultimodal AI usageStructured output generationTool integrationsReliability and hallucination mitigation4. Custom AI Assistants & AI System DevelopmentThe Director must have practical experience designing customized AI assistants.Custom GPT DevelopmentUsing ChatGPT:Instruction engineeringKnowledge base integrationCustom tools and API integrationWorkflow-specific AI assistantsAI persona configurationGuardrail design and safetyGemini GemsCustom AI assistants built using Gemini:Domain-specific assistantsContext injectionWorkflow automation assistantsEnterprise use-case configurationClaude-Based Custom WorkflowsLong-context reasoningResearch assistantsDocument-grounded AI systems5. Open-Source AI Model Training & CustomizationA major component of the program involves teaching students to work with open-source AI models such as:Llama 4Training modules should include:Model Training & Fine-TuningUnderstanding transformer architecturesModel weights and tokenizationDataset preparation and cleaningInstruction tuningParameter-efficient fine-tuning (PEFT)LoRA and QLoRA techniquesDomain-specific model customizationInfrastructure & DeploymentGPU requirements and compute planningRunning models locally and in the cloudModel serving infrastructureContainerized AI deploymentInference optimizationPractical Custom Use CasesIndustry-specific AI assistantsLegal research assistantsFinancial analysis assistantsMedical knowledge assistantsEnterprise knowledge copilotsAI-powered internal company toolsSafety & GovernanceDataset bias evaluationSafety alignmentGuardrail implementationResponsible open-source AI deployment6. AI Workflow Automation & IntegrationHands-on experience required with automation tools such as:n8nZapier (automation platform)Make (automation platform)HermesOpenClawTraining includes:AI-driven automation pipelinesTrigger-based workflowsAPI integrationsCRM automation systemsAI-powered dashboardsMonitoring and logging automation systems7. Web Scraping & AI Data PipelinesTraining must include:Python-based web scrapingAI-assisted scraping script generationData extraction from:WebsitesPDFsPublic databasesData cleaning and structuringScraping-to-AI pipelinesEthical scraping practices and complianceExample projects:Market intelligence automationCompetitive pricing monitoringLead database generationResearch data miningAutomated Messaging8. AI Agents & Autonomous SystemsExpertise in designing and teaching:Autonomous AI agentsTool-using AI systemsMulti-agent architecturesRetrieval-Augmented Generation (RAG)AI copilots for internal business operationsExample training implementations:AI research agentsAI customer support agentsAI document processing agentsAI operations assistants9. Automated Messaging & Communication SystemsTraining programs should include automated messaging systems using platforms such as:WhatsAppMicrosoft TeamsTelegramCapabilities taught include:AI chatbot designAutomated customer communicationLead qualification botsCRM-integrated messaging workflowsAI-powered broadcast messagingAutomated support systemsExample workshop projects:AI-powered onboarding systemsCourse notification systemsAppointment scheduling botsAI-driven outreach automationLeadership & Management ResponsibilitiesOversee curriculum quality and updatesEstablish instructional standardsTrain beginners and guide them to become expertsRequired QualificationsBachelors or Masters degree in Computer Science, AI, Data Science, Engineering, or related field (or equivalent experience)25+ years of applied AI experienceExperience developing AI workflows or AI systemsExperience designing and delivering technical training programsLeadership experience managing technical teamsKey CompetenciesDeep expertise in modern AI systemsStrong curriculum design capabilitySystems-thinking mindsetAbility to simplify complex technical conceptsStrategic leadership abilityContinuous learning in rapidly evolving AI ecosystemPerformance MetricsStudent implementation success rateAI systems built by learnersAdoption of AI workflows by students