Instructor - Generative AI in Data Analytics

5 months ago
Part-time
Junior
Data Science and Analytics
Fullstack Academy

Fullstack Academy

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Diversified Consumer Services
11-50
Founded 2012

Description

  • Deliver live online training sessions on Generative AI applications in data analytics.
  • Explain core topics including generative AI concepts, AI-driven data analysis, AI-powered visualization and reporting, AI in data engineering workflows, and ethics and future trends.
  • Provide hands-on demonstrations using relevant AI and analytics tools.
  • Facilitate practical exercises, case studies, assignments, and project guidance.
  • Mentor learners and respond to technical or conceptual questions.
  • Conduct assessments, evaluations, and feedback sessions.
  • Maintain session quality metrics, learner engagement, and reporting standards.
  • Collaborate with internal teams on curriculum refinement and content enhancement.
  • Provide individualized student support during live sessions and scheduled office hours.
  • Monitor student progress, document performance, and escalate academic concerns when needed.

Requirements

  • Bachelor’s degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or a related field.
  • Industry experience applying Generative AI or AI-assisted analytics techniques.
  • Strong understanding of data analytics workflows and tools.
  • Familiarity with LLM-based tools, prompt engineering, or AI platforms.
  • Prior experience delivering online or classroom training preferred.
  • Excellent communication, facilitation, and presentation skills.
  • Ability to explain AI concepts through practical analytics use cases.
  • Experience with Python, SQL, or analytics ecosystems preferred.
  • Exposure to AI platforms and tools such as OpenAI’s ChatGPT, OpenAI Playground, Hugging Face, or similar Generative AI platforms and LLM ecosystems preferred.
  • Certifications in AI, Data Analytics, or Data Science preferred.
  • Familiarity with AI-assisted automation and business intelligence workflows preferred.
  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
  • Evening availability is required, with classes typically held Monday, Wednesday, and Thursday from 6:30 PM to 9:30 PM CST and Saturday and Sunday from 9:00 AM to 12:00 PM CST.

Benefits

  • Competitive pay of $55–$60 per hour, depending on qualifications and experience.
  • Part-time role with an expected weekly commitment of 8–12 hours.
  • Flexible remote online work environment.
  • Opportunity to teach in a hands-on, immersive learning program with live virtual classes, labs, and projects.
  • Inclusive and professionally supportive learning environment.

Interested in this position?

Apply directly on the company website

Apply Now

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