Lead AI / ML Instructor

Anyone AI Inc.; United States; Remote; USD 90,000 - 130,000; Part time

Job summary

Anyone AI in the United States seeks a hands-on senior instructor to deliver ML lectures for our part-time developer training, shaping curriculum and student experience.

You will run live sessions, review assignments, provide feedback, and collaborate with the Program Coordinator and mentors to ensure successful completion over five months.

Ideal candidates have deep ML/AI experience, strong Python and DL framework skills, and passion for teaching and engaging students.

Qualifications

• Technical background in math, programming, and machine learning.
• Hands-on experience in AI/ML and solving real-world problems.
• Proficient with Python ML packages and DL frameworks; Docker deployment; cloud experience.
• Strong English communication and student engagement.
• Interest in teaching and mentoring.

Responsibilities

• Review and adapt lectures and assignments.
• Deliver live lectures and assignments; 8 hours/week.
• Perform code reviews with fellows.
• Answer student questions via Slack/Zoom; coordinate with mentors.
• Provide feedback during the 5-month program.
• Update materials and monitor curriculum.
• Meet with Program Coordinator and Mentors to coordinate.

Skills

Math & programming background

Hands-on AI/ML experience

Python ML packages (numpy, pandas, sci

Deep learning frameworks (TensorFlow,

Docker deployment

Cloud (AWS)

English communication

Teaching / mentoring

Education

Bachelor/Master/PhD in CS/Math/EE

Tools

Jupyter Notebooks

LMS platforms

Git

Job description

Our vision: Mastering machine learning is hard, frustrating, and takes time. The talent shortage is the mother of all problems in AI. At AnyoneAI, 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: We aim to supply the demand of 100,000 AI/ML developers in the next 10 years, from LatAm to international markets, with focus in the US.

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 dictate lectures and assignments to students in ML for the Anyone AI part‑time ML Developer training. 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 deliver lectures on ML/AI topics, and perform code review with the fellows.

• 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 provide regular feedback on student performance and issues or special attention they may require through the 5 month training program.

• You’ll update materials periodically, and regularly monitor course evaluations in order to make adjustments and improvements to the curriculum.

• 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 (TensorFlow, PyTorch, etc), deployment with Docker, and AWS or similar cloud environment, data science libraries (Pandas, Airflow, etc) and databases (SQL, etc).

• 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. It is a nice position for PhD candidates who are also interested in teaching.

• 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 is a plus.

AnyoneAI is an equal opportunity employer. We do not make hiring, employment or promotion decisions based on race, religion, color, sex, age, national origin, ancestry, sexual orientation, gender or identity or expression, pregnancy or pregnancy‑related condition, marital status, height and/or weight.