StackRoute Learning is a suite of continuing education programs for high-demand jobs in technology. As technology continues to evolve at a rapid pace, StackRoute Learning’s mission is to enable students with high-quality, practitioner-led, immersive learning that prepares them to be job-ready on day one. Our programs are designed to map not just with skills, but with actual job roles trending in the market across four prominent areas – Software engineering, cloud computing, cybersecurity, and data science
Link for website: http://www.stackroutelearning.com
Position: GenAI Teaching Assistant (Generative AI, Data Science, and AI Certifications)
Duties and Responsibilities
Attend live classes to assist students with labs and clarify concepts:-
Monday- 3hrs – 6 PM – 9 PM EST
Wednesday- 3 hrs – 6 PM – 9 PM EST
Thursday – 3 hrs – 6 PM – 9 PM EST
- Provide outside-class support by joining calls and appointments with students.
- Preferred time for support:- 10 AM EST – 5 PM EST
- Teaching Assistant must familiarize themself with course content. They should be able to solve all the practices, assignments, and capstone project exercises.
- They must coordinate with the instructor for students’ homework evaluations and assist instructors in reviewing the assignment submissions and providing grades and feedback.
- The teaching assistant must respond to student queries within 48 hours of the student raising the query on Zoom chat.
- Weekly, 10 hours of effort are to be completed by the Teaching Assistant. This can be distributed for evaluations of assignments, responding to Zoom chat and other technical support to students.
- Teaching Assistant must occasionally join live classes and assess the students, and gain a better understanding of our learning pedagogy.
- Assignment evaluations can be done during the weekend since students submit the majority of their work during the week and weekends (Saturday and Sunday).
- Available for scheduled meetings with the internal team and the manager during the weekdays as required.
Technical skills
- Proficient in below courses and topics
Course Topics:
- Data Science & Statistics Fundamentals
- Cloud Basics & Python Programming
- Artificial Intelligence Basics, Machine Learning Principles, & Foundational Models
- Essentials Of Generative/Applied AI, Practical Skills In Prompt Engineering, Managing DataMining & Machine Learning Concepts
- Intro to GPT Language Models
- Advanced Topics for GPT Specialisation
Thanks & Regards
NIIT GS Team
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