Lead ML/AI Instructor

Our vision: Mastering machine learning is hard, frustrating, and takes time. The talent shortage is the mother of all problems in AI. At Anyone AI, we upskill people from LatAm to solve the AI talent gap through an accelerated and practical training program dictated by AI industry experts. In AI, people are the new capital, and we invest in them in exchange for a share of their future income.

Our mission: Anyone AI's mission is to discover and empower AI talent in Latin America, to build the largest hub and community of AI developers in the region. Our goal is to bridge the talent gap by supplying thousands of skilled developers from Latin America to global markets, particularly the United States, thereby addressing the shortage of AI talent.

We are founding members of Deep Vision AI, one of the first companies in the computer vision / AI space, which was acquired in early 2020 by DFW Capital Partners. Anyone AI is backed by top global investors like GFC (Global Founders Capital) -investors in Facebook, LinkedIn, Slack, Canva, Trivago, Delivery Hero, Revolut, etc-, Canvas Ventures (early investor in Coursera, Evernote, MuleSoft, etc) and Latitud Fund (the largest community of angel investors for LatAm).

Run the race of your life

This is a chance to help change the AI industry and change thousands people’s lives in LatAm. This position provides self-motivated, collaborative individuals the opportunity to make a direct impact on Anyone AI products and services. You will have the opportunity to challenge yourself while contributing to develop an accelerated training program designed to invest in people from LataAm and help them master ML and AI to land their first job in the field, in less than 6 months.

About the Role

We are currently looking for a hands-on senior instructor able to carry on lectures and assignments to fellows in ML for the Anyone AI training program. The instructor will be responsible for facilitating live class sessions, contributing to prepare class materials, and providing feedback and guidance to students. You will use your expertise to design high-quality and effective learning experiences. Your experience and skills in the AI space, and ability to educate and communicate will all be critical for this role.

Responsibilities

• Initially, you’ll review and adapt lectures and assignments on ML/AI in the assigned format, LMS, Jupyter Notebooks, or other tool of choice. Contribute to the development and/or update course curriculum in consultation with the team.
• Once the training starts, you’ll deliver live lectures or assignments at the time specified by Anyone AI. Total time commitment is 8 hours a week including other activities.
• You’ll perform code reviews with students and solve problems from the previous day.
• You’ll respond to student questions and learning needs in a timely manner through Slack, Zoom or related tools. Mentors and other team members will also support this activity.
• You’ll evaluate and grade students every 2 weeks with assignments that will be automated over time.
• You’ll provide regular feedback on student performance and issues or special attention they may require through the 4 month training program.
• You’ll update materials periodically, and regularly monitor course evaluations in order to make adjustments and improvements to the curriculum.
• Once the AI Training Program finalizes and AI Programming modules start, you’ll provide guidance and support teams on the individual and team projects as they apply the concepts learned in the previous months of training.  
• You’ll meet with the Program Coordinator and Mentors regularly to coordinate activities for the successful completion of the training program.

Skills & Experience

• Technical background in math, programming, and machine learning.
• Hands-on experience in AI/ML, solving real-world problems.
• Expert level proficiency in using Machine learning packages for Python (numpy, Pandas, scikit-learn, etc); experience with deep learning frameworks (Keras, etc), deployment with Docker, and AWS or similar cloud environment, LLMs frameworks (e.g Langchain), HuggingFace, among others.
• Interest in student engagement, motivation, and teaching.
• Excellent written and verbal communication English skills.

Nice to have

• Bachelor, Master, PhD or equivalent degree in computer science / computer engineering, or equivalent industry experience in areas like machine learning, data science, or related.
• Previous experience as an instructor or lecturer in the areas of AI, machine learning, data science, robotics or similar
• Experience designing/revising curriculum and measuring student performance.