Instructor, Agentic AI, Simplilearn (Part time)
简单学习简单学习是全球第一位在线 Bootcamp 提供商，为世界各地的学生提供了严格和高度专业化的培训。我们致力于新兴技术和技能，如数据科学，云计算，编程等正在改变全球经济。我们的培训实践性和沉浸式，包括现场虚拟课程，集成实验室和项目，24x7支持以及协作学习环境。超过200万名专业人士和150个国家的2000家企业培训组织利用我们的获奖项目来实现他们的职业生涯和商业目标.Simplilearn 与 Full Stack Academy 合作，以利用其在美国地区的广泛影响力，并与美国顶级大学进行合作，以扩大国际地位概述。人工智能和机器学习 (AIML) 的兼职教师对我们网上课程中注册的成年学生提供有吸引力的和具有影响力的学习体验方面发挥着关键作用。讲师促进课程内容，支持学生学习，并将技术概念连接到现实世界行业应用。这一角色包括在线直播教学，辅导学生，提供反和为协同的教学环境做贡献。课程100%在线进行同步格式。工作总结 我们正在寻找经验丰富的代理人工智能培训人员来提供现代生成模型，LLM,LangChain,RAG 以及即时工程的网络培训会议。主要责任 · 提供实践演示和项目。· 解释使用现实世界的用例的概念 · 对应学习者的查询，确保参与度 需要技能和专业知识生成人工智能与基础模型 ·生成人工智能的模型类型和应用程序 · VAE 和 GAN （架构，用例，限制）·基于变压器的模型和注意力机制 · 自主关注和多头关注语言模型和 LLM ·语言模型基本原理和应用程序 • 大型语言模型 （架构،培训，运营，类型）检索增强代 (RAG) · RAG 概念，组件，检索机和工作流程 · RAG 兰格链的实际应用程序 · 兰格连锁体系结构和核心组件 ·
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About: Simplilearn
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 Full stack 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 Artificial Intelligence and Machine Learning (AIML) 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 technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Job Summary
We are seeking experienced Agentic AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Key Responsibilities
- Deliver live, instructor-led online classes
- Conduct hands-on demos, guided practices, and projects
- Explain concepts using real-world use cases
- Address learner queries and ensure engagement
Required Skills & Expertise
Generative AI & Foundation Models
- Generative AI model types and applications
- VAEs and GANs (architecture, use cases, limitations)
- Transformer-based models and attention mechanisms
- Self-attention and multi-head attention
Language Models & LLMs
- Language models fundamentals and applications
- Large Language Models (architecture, training, operations, types)
Retrieval-Augmented Generation (RAG)
- RAG concepts, components, retrievers, and workflows
- Real-world applications of RAG
LangChain
- LangChain architecture and core components
- Building applications using LangChain
- Prompt, memory, chains, and model integration
- Text generation pipelines with Hugging Face models
Prompt Engineering
- Prompt fundamentals and optimization
- Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
- Prompt templates and LangChain prompts
- Prompt engineering applications (data & synthetic data generation)
Model I/O & Data Handling
- Model I/O (prompts, LLMs, output parsers)
- Document loaders (CSV, PDF, HTML, JSON, Markdown)
- Text splitters and embeddings in GenAI
Qualifications
- 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs
- Strong proficiency in Python, LLM frameworks, and LangChain
- Prior online or classroom training experience
Requirements
Work Schedule
Part-Time instructors typically work 8–10 hours per week depending on cohort schedules.
Current AIML cohorts meet during evening hours:
- Weekends- Saturday and Sunday
- Sessions typically run 10:00 AM to 2 PM EST
Benefits
Compensation
The anticipated pay range for this position is $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.
Originally posted on Himalayas