Artificial Intelligence (AI) Trainer

Technology Pvt. Ltd.; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is looking for a dynamic AI Trainer to lead engaging training sessions on Artificial Intelligence. This role is perfect for both experienced professionals and fresh graduates who are passionate about teaching AI concepts and applications. As a freelance AI Trainer, you will design and deliver comprehensive courses covering everything from AI fundamentals to advanced techniques. You will also assess students' performance and provide personalized mentorship, ensuring they grasp complex AI topics. Join this exciting opportunity to shape the future of AI education and inspire the next generation of AI professionals.

Qualifications

• 2-5 years of experience in AI with hands-on model development.
• Strong communication skills to explain AI concepts effectively.

Responsibilities

• Design and deliver engaging AI training programs for various skill levels.
• Assess student performance and provide personalized support.

Skills

AI concepts

Python

TensorFlow

Machine Learning

Communication Skills

Education

Degree in AI, ML, Data Science

Certification in AI or ML

Tools

PyTorch

Scikit-learn

AWS

Google Cloud

Azure

Job description

Job Description: We are seeking a knowledgeable and dynamic Artificial Intelligence (AI) Trainer to provide high-quality training sessions for individuals and groups. This position is suitable for both experienced professionals and fresh graduates who are enthusiastic about teaching AI concepts, tools, and applications. As a freelance AI Trainer, you will be responsible for designing, developing, and delivering engaging courses that cover various aspects of AI, from basic principles to advanced techniques.

Key Responsibilities:

• Course Development: Design and create comprehensive training programs in Artificial Intelligence, tailored to different skill levels, including beginner, intermediate, and advanced learners. Topics include AI fundamentals, machine learning, deep learning, natural language processing, and computer vision.
• Content Creation: Develop and update instructional materials such as slides, coding exercises, datasets, projects, and case studies that reflect current AI trends and practices.
• Training Delivery: Conduct live, interactive training sessions via online platforms, focusing on core AI skills like data preprocessing, model training and evaluation, algorithm development, and AI deployment.
• Student Assessment: Assess and evaluate student performance through quizzes, assignments, and practical projects. Provide detailed feedback to support their growth and understanding of AI concepts.
• Support and Mentorship: Offer personalized support to students, addressing their questions and helping them troubleshoot issues related to AI algorithms, code, and model performance.
• Continuous Learning: Keep up-to-date with the latest advancements in AI, including new tools, techniques, and research, and incorporate these into the training curriculum.

Qualifications:

For Experienced Professionals:

• Experience: 2-5 years of professional experience in AI, including hands-on experience with AI models, algorithms, and applications.
• Teaching Experience: Previous experience in teaching or training, particularly in a freelance or online setting, is highly desirable.
• Technical Skills: Proficiency in AI tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn, and programming languages like Python or R. Familiarity with cloud-based AI platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Certifications: Relevant certifications in AI or machine learning (e.g., Google Professional Machine Learning Engineer, Microsoft AI Engineer) are preferred but not required.
• Communication Skills: Excellent communication skills with the ability to explain complex AI topics clearly and effectively.

For Freshers:

• Education: A degree or certification in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field.
• Technical Skills: Basic knowledge of AI and machine learning, gained through academic coursework, internships, or personal projects. Familiarity with Python and AI libraries such as TensorFlow or Keras.
• Passion for Teaching: A strong interest in teaching and mentoring, with a commitment to developing effective training methods.
• Communication Skills: Strong verbal and written communication skills, capable of simplifying advanced AI concepts for various audiences.