Generative AI Instructor - Flexible/Freelance
Location
Bangalore | India
Job description
Come join a fast-growing and flexible company!
The
Generative AI Instructor is the brand ambassador for our company and it is your responsibility not only to deliver dynamic lessons, but to also create an environment that is conducive to the success of every student. We provide all the instructional materials that you will need, including slides/content material, exercises, and quizzes - so there is no content creation responsibility. Rather, we encourage you to bring your experience into the classroom.
Lean on your expertise to deliver engaging lessons online and create an environment that is conducive to the success of every student. Your position is key in communicating the students' needs to leadership and instructional designers and maintaining a steady focus on opportunities to enhance the student experience. (While we are currently running 90% of our training programs online, there may be opportunities for travel and on-site work in the future if you desire.)
Your responsibilities will include:
Remotely leading engaging and intuitive live-streaming training for a professional audience. Teaching students the fundamentals of generative AI, including deep learning, Transformer Architecture for LLMs and other open-source models. Conducting weekly lectures and labs Providing feedback to students and working with students on real data projects.
Courses for this particular class run from February to March. Each cohort is two weeks long, with two hours of teaching daily during the cohort. You are able to teach from the comfort of your own home or preferred space!
Who we are looking for:
You are a data practitioner with experience in AI and are excited to pass on your knowledge and experience to a professional audience. You are passionate about helping students achieve their objectives and want to have a job where you interact with professionals and help them solve the challenges that they face. You are a dynamic speaker who is comfortable working in a professional environment, delivering training in front of senior staff in the federal government and Fortune 500 companies.
Required skills / knowledge: - Experience instructing management-level students or professionals.
- Expertise in LLMs, Covering at high level:
- Transformer based models like BERT and T5
- Hugging face models like LLaMa, Dall-E
- Donut models
- GPT models and their variations,
- Transformer based ocr or others being used currently,
- Deep learning Architecture,
- Model deployment (MLFlow).
- Knowledge of how above techniques can be applied to solve industry problems with finetuning and validation.
- Priority will be given to individuals with experience working with real world deployments and teaching hours that can be flexible (some evening or morning is negotiable)
Recommended skills / experience: - At least 1 year of experience teaching data science and/or Python
Location
Data Society training is delivered via live-streaming and can be done from your home location. This particular course serves clients in the India Standard Time timezone, in the morning hours.
Why you should apply
You don't have to quit your day job to teach! Our instructors are valued members of our team who work on a flexible schedule dictated by the classes they're available to run. For some, this can mean constant classes, and for others this may be a once-in-a-while gig. Our learners are professionals from all over the world, eager to learn from your experience and knowledge.
Data Society offers competitive pay, a dynamic environment, and the opportunity for growth and learning new skills. We foster a collaborative work space where individuals can flourish and make an impact on how the company functions. We know that our team is the reason we are so successful - that's why we focus on an inclusive culture that allows for flexibility and a comfortable environment so you can enjoy your time outside of work as much as your time at work. As a growing business, we are seeking instructors who are excited to catalyze industries through empowering their workforce.
Job tags
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