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Fullstack Academy

Immersive coding bootcamp for software engineering

Instructor - Generative AI in Data Analytics

Corporate & Technical TrainingConfirmed live in the last 24 hours
Part-timeRemote in USA$55 - $60 /hr

About the Job

Requirements

  • A bachelor's degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or a related field is required.
  • Industry experience applying Generative AI or AI-assisted analytics techniques is required.
  • A strong understanding of data analytics workflows and tools is required.
  • Familiarity with large language model-based tools, prompt engineering, or AI platforms is required.
  • Excellent communication, facilitation, and presentation skills are required.
  • The ability to explain AI concepts through practical analytics use cases is required.
  • The ability to bridge AI concepts with practical analytics use cases is required.
  • A structured and professional virtual delivery approach is required.
  • A strong problem-solving ability is required.
  • Adaptability to evolving AI technologies and analytics trends is required.
  • Evening availability is required.
  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Responsibilities

  • Deliver live online training sessions on Generative AI applications in analytics.
  • Teach an overview of Generative AI in data analytics, the role of AI in modern analytics workflows, emerging trends, and enterprise applications.
  • Teach data augmentation using AI-generated synthetic data, Generative AI for exploratory data analysis, AI-assisted data interpretation and insight generation, and AI-driven data modeling and forecasting concepts.
  • Teach Generative AI for tailored data visualization, AI-assisted dashboarding and reporting workflows, and integration of AI into visualization pipelines.
  • Teach optimization of ETL processes using AI tools, AI-assisted workflow automation concepts, and data preparation and transformation using AI-enabled tools.
  • Teach challenges and ethical considerations in integrating AI into analytics workflows, responsible AI usage and governance concepts, and future trends and emerging applications in AI-driven analytics.
  • Provide hands-on demonstrations using relevant AI and analytics tools.
  • Facilitate practical exercises, case studies, assignments, and project guidance.
  • Mentor learners and resolve technical or conceptual queries.
  • 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 initiatives.
  • Provide individualized student support during live sessions and scheduled office hours.
  • Maintain regular communication with students regarding progress, expectations, and milestones.
  • Respond to student and staff communications in a timely and professional manner.
  • Provide clear, constructive, and timely feedback on assignments, assessments, and projects.
  • Evaluate student progress based on course deliverables and established grading rubrics.
  • Maintain accurate documentation of student performance and engagement.
  • Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.
  • Support learner improvement plans and project readiness initiatives when necessary.
  • Adhere to institutional policies and instructional team standards.
  • Foster an inclusive, respectful, and professional learning environment.
  • Serve as a role model and mentor for learners pursuing AI and analytics careers.
  • Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.
  • Represent the organization professionally when interacting with students, staff, and external stakeholders.

Desired Qualifications

  • Prior experience delivering online or classroom training is preferred.
  • Experience with Python, SQL, or analytics ecosystems is preferred.
  • Exposure to AI platforms and tools such as OpenAI's ChatGPT, OpenAI Playground, Hugging Face, or similar Generative AI platforms and large language model ecosystems is preferred.
  • Experience integrating AI into visualization, reporting, or analytics pipelines is preferred.
  • Certifications in AI, Data Analytics, or Data Science are preferred.
  • Familiarity with AI-assisted automation and business intelligence workflows is preferred.

About the Company

Fullstack Academy

Immersive coding bootcamp for software engineering

FullStack Academy provides intensive bootcamps to help people transition into tech careers. Its flagship program teaches full-stack JavaScript (Node.js, React, PostgreSQL) through project-based learning, with extensions into cybersecurity, data analytics, and DevOps. The program uses selective admissions and combines hands-on projects with career services like coaching, resume help, and interview prep to boost job outcomes. Now part of Simplilearn, it aims to place graduates into high-paying tech roles by offering practical skills and strong job placement support.

Company size
201-500
Company stage
Acquired
Total funding
$130K
Headquarters
New York City, New York
Founded
2012

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