讲师，AGS，Simplilearn（兼职）
Instructor, AGS, Simplilearn (Part time)
关于Simplilearn
Simplilearn是全球领先的在线实训营提供商，通过与世界知名大学和领先企业合作，为全球学习者提供严谨且高度专业化的培训。我们专注于数据科学、云计算、编程等正在改变全球经济的新兴技术和技能。我们的培训注重实践和沉浸式体验，包括实时虚拟课堂、集成实验室和项目、24x7支持以及协作学习环境。全球超过两百万名专业人士和150个国家的2000家公司培训组织已通过我们的获奖课程实现了职业和业务目标。
Simplilearn与Full stack Academy合作，利用其在美国地区的广泛影响力以及与顶级美国大学的合作关系，实现国际化发展
职位概述
人工智能与机器学习（AIML）兼职讲师在为注册我们在线课程的成人学习者提供引人入胜且有影响力的学台体验中发挥关键作用。
讲师负责课程内容的传授，支持学生学习，并将技术概念与实际行业应用联系起来。该职位包括教授实时在线课程、指导学生、提供反馈并参与协作教学环境。
所有课程均以同步形式100%在线进行。
职位摘要
我们正在寻找经验丰富的AGS- AI讲师，为学员提供涵盖现代生成模型、LLMs、LangChain、RAG和提示工程的实时在线培训课程，并结合动手演示和项目。
主要职责
- 进行实时、由讲师主导的在线课程
- 进行动手演示、指导练习和项目
- 使用现实中的用例解释概念
- 回答学习者的问题并确保参与度
所需技能与专业知识
生成式AI与基础模型
- 生成式AI模型类型和应用
- VAEs和GANs（架构、用例、限制）
- 基于Transformer的模型和注意力机制
- 自注意力和多头注意力
语言模型与LLMs
- 语言模型的基础知识和应用
- 大型语言模型（架构、训练、操作、类型）
检索增强生成（RAG）
- RAG概念、组件、检索器和工作流程
- RAG的实际应用
LangChain
- LangChain架构和核心组件
- 构建LangChain应用程序
查看英文原文
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 AGS- 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)
Qualifications
- 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs
- Bachelor’s degree in any field AND a minimum of 5+ years of professional experience in Artificial Intelligence or Machine Learning,
- 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