Data Science – AI trainer

Job Title: Data Science – AI Trainer

Job Type: Part-time

Location: Remote

Job Summary

Join our customer’s team as a Data Science – AI Trainer, where you will play a pivotal role in training and mentoring the next generation of AI talent. You will leverage your expertise as a Data Scientist to design, deliver, and optimize training programs that focus on full-cycle prompting and AI model development within a dynamic, innovation-driven environment.

Key Responsibilities

Design and deliver comprehensive AI and data science training modules tailored to various learner levels.
Guide learners through hands-on projects covering the entire AI development lifecycle, with a particular emphasis on full-cycle prompting techniques.
Provide actionable, constructive feedback through both written and verbal channels to foster learner growth.
Collaborate with the customer’s team to continuously update and refine course materials based on technological advancements and industry best practices.
Develop assessments, project challenges, and interactive exercises that measure and enhance learner competency in data science and AI.
Mentor and support learners, addressing their questions and challenges with a solution-oriented mindset.
Champion clear, effective communication in all training activities, ensuring complex concepts are accessible and engaging.

Required Skills and Qualifications

Bachelor’s degree or higher in Computer Science or a related technical field.
At least 2 years of hands-on experience as a Data Scientist working on AI-driven projects.
Demonstrated experience in designing, implementing, or teaching full-cycle AI prompting techniques.
Excellent written and verbal communication skills; proven ability to explain complex AI concepts clearly.
Self-motivated with strong organizational and time management abilities.
Familiarity with state-of-the-art machine learning frameworks and data science toolkits.
Proficient in remote collaboration using digital tools and platforms.

Preferred Qualifications

Prior experience as an educator, trainer, or mentor in data science or AI.
Knowledge of the latest trends in AI model optimization and deployment.
Portfolio of published projects or contributions to AI education.