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.