🤓 Top 4 Ai Jobs For Your Kids!

Hey there, Ai curious parent(s)!

Ai excitement is buzzing in the air as we present to you yet another illuminating edition of Daddy Ai. Our mission? To navigate the landscape of Artificial Intelligence (Ai) and help the budding young minds in our families embrace the endless possibilities within!

Today we will explore my top 4 picks for job opportunities in Ai. This area is overflowing with potential, creating a multiple roles that are both diverse and intriguing. From positions blending analytical insight with technical skills to roles redefining how humans and machines interact, Ai is truly a realm of innovation and boundless possibilities.

I am getting numerous questions from parents about how to prime their kids for this new Ai world.

One question was, “Are there any jobs in Ai?”

Yes! Like you wouldn’t believe.

🤖Top 4 Ai Jobs🌐

So, Ai isn’t just something you read about in sci-fi books or see in movies; it’s actually a big part of our world today, changing the way we do a bunch of things. It’s not just about talking robots or flying cars; it’s more about the cool, practical ways we use technology to make our lives better every day.

Ai is being used all over the place, doing amazing things in different jobs, like helping doctors diagnose illnesses or helping farmers grow their crops more efficiently. It’s helping cars drive themselves and making sure the shows and music we like are what gets recommended to us online.

Plus, Ai is creating lots of new jobs and opportunities that didn’t even exist before. It’s helping businesses grow and making it easier for people to start their own companies and create new things.

Language Model Trainer

Language Model Trainers are the real superheroes behind the Ai language models such as Chat GPT. These amazing minds are the ones pulling the strings, fine-tuning our Ai buddies to understand and interpret the unique needs of different industries.

So, what’s their secret sauce? Well, Language Model Trainers combine their techy know-how to tailor pre-trained Ai models, ensuring these smart tools grasp the nuances, lingo, and context of specific business landscapes. It’s all about making models get the gist of industry-specific chatter and quirks! They take top-notch datasets to fine-tune these models and help the large language models (LLMs) to unlock their full potential.

Qualifications for Language Model Trainers:

• An advanced degree in a STEM field or 5+ years of relevant experience.

• A track record working with deep learning models and real-world, data.

• A tech stack featuring Python and a mix of deep learning libraries like PyTorch, TensorFlow, or JAX.

• A background in software engineering.

• Experiences working with large language models, both building and fine-tuning them and with traditional machine learning models.

• The ability to translate business requirements into techy to-dos.

Isn’t it exciting to think that our youngsters could one day become a Language Model Trainer? They’d be shaping the dialogue between humans and machines, making sure the conversation is fluent, relevant, and packed with understanding.

Prompt Engineers

Let’s chat about a sparkling new role that's turning heads in the Ai world. Say “hello” to the Prompt Engineers. These techy wordsmith magicians make large language models like ChatGPT talk the talk and walk the walk, ensuring they’re spitting out the right kind of responses we need.

Now, what do these wonderful wizards do, you ask? Well, they’re the masters of crafting clever prompts and instructions to guide our friendly neighborhood language models to deliver top-notch, context-savvy outputs. They know their language models inside and out, designing those queries to fetch us the most accurate and relevant info. They are basically Ai whisperers.

They team up with other cool techies like data engineers, data scientists, and product managers to elevate the performance of these language models. You can often spot them mingling with the engineering squad, sharing their wisdom across the board, and sometimes, sprouting as a brand-new role within companies. They essentially sit at the intersection of where humans and Ai meet, working to enhance our conversations with our computer companions.

Qualifications for Prompt Engineers:

• A degree in Computer Science, Computational Linguistics, or a related field, or some nifty experience in the real-world tech arena.

• A strong background in deep reinforcement learning, and familiarity with NLP and ML models and methodologies.

• A keen eye for the nitty-gritty of ML workflows, data sampling and curation, pre-processing, model training, evaluation, deployment, and optimization.

• Familiarity with big data technologies and cloud based data environments.

• Experience with structured and unstructured data sources.

• Experience with designing and developing Ai prompts using large language models, including GPT-3 or ChatGPT and other solutions, including Lex or Rasa.

If your kids have a passion for tweaking, optimizing, and playing around with things, this might just be the tech adventure they’ve been looking for.

Ai Product Manager 

I used to be the head of product at a Saas company, but at that point in time there wasn’t a ton of Ai being used in the companies workflows. However, I did help integrate GPT-3 (OpenAI’s Older Model) into one of our tools. So I guess you could have called me an Ai product manager too. 😃 

Ai Product Managers blend cool ideas with real-world fixes to craft awesome Ai products and tools that everyone loves to use. Their job is like being a mix of a scientist and an inventor, but also figuring out how to make digital products that people can use every day. They make sure that every new invention isn’t just a cool thought but something that can really help people and make a difference in the world.

So, what’s their day like? Imagine being the captain of a ship with a crew of engineers, designers, and data scientists, all working together to create amazing digital products. They make a place where everyone’s ideas can grow and become real, innovative solutions. The Ai Product Managers keep everything on track, making sure that the products are user friendly and top notch.

Ai Product Managers are the dreamers and the doers of the Ai world. They turn the wildest, most fantastic ideas into digital products we can use in our daily lives, such as ChatGPT and many other Ai tools. They are the builders of tomorrow, creating a future where Ai helps us in our everyday lives and makes the world a whole lot more fun and exciting.

Qualifications For Ai Product Managers:

• Knows the ins and outs of artificial intelligence and machine learning.

• Understands how the product functions and the role Ai plays within it.

• Knows how the product improves the customer’s experience. Focused on meeting customer needs through user-friendly designs.

• Manages the development lifecycle of Ai products effectively. Keeps projects on track, balancing various tasks and deadlines.

• Can speak tech. Communicates efficiently with technical teams. Also speaks human. Explains complex ideas to non-technical stakeholders clearly.

• Leads cross-functional teams to bring Ai products to the market. Inspires and motivates teams, keeping the vision and goals clear.

• Uses data to make informed product decisions. Analyzes data effectively to understand user needs and market trends.

• Identifies and prioritizes opportunities for Ai product development. Balances technical considerations with business strategies.

• Overcomes technical challenges and mitigates risks efficiently. Finds innovative solutions to issues that arise during product development.

Ethical Ai Specialist

Ethical Ai Specialists are the captains steering the ship of Ai technology through the vast seas of ethics and responsibility. Their mission? To tackle all the tricky ethical questions and challenges that come up when we use large language models and other Ai tools. They’re the ones making sure that the Ai technology we use is fair, unbiased, responsible, and respects everyone’s privacy.

These specialists lay down the law, creating rules and best practices to make sure Ai behaves! They team up with other Ai experts like language model trainers, NLP engineers, cybersecurity wizards, and prompt engineers to spot and fix any biases or risky bits in the training data and the results the models produce. They’re like the Guardians of the Galaxy, but for Ai, kind of. “I am Groot!”. Sorry I got carried away. I love Guardians! But they ensure that every bit and byte adheres to all the legal rules and industry standards, making everything transparent and ethical.

Now, these roles can be pretty hands-on tech-wise, getting down and dirty with the development, or they might be more like advisors, keeping an eye on everything. It all depends on where they work.

Qualifications For Ethical Ai Specialists:

• A Bachelor’s degree in something relevant.

• Experience in creating or managing AI/ML models and understanding the entire product lifecycle.

• Knows the ethical and compliance rules of the industry like the back of their hand (think HIPAA, SOC 2, etc.)

• Skilled in code testing and auditing.

• Has the ability to get and keep a security clearance.

• Keeps their brain filled with the latest happenings in natural language processing, machine learning, and deep learning.

• Stays in the know about the newest research in Ai ethics and policies (this includes algorithmic fairness, accountability, transparency, and privacy-protecting tech).

So, here’s a big shoutout to our Ethical AI Specialists, keeping the Ai world safe, fair, and fun!

What To Learn🧠

You may be saying to yourself, “That’s great Tommy, but where the heck should my kid start dude!?”

By far and large I would recommend for your kids to start learning a programming language. The main programming languages they should learn are Python, and or Mojo. Out of these two, I would first start learning Python.

There are programming languages such as R, Java and C++ but start with Python.

Other areas they should start learning are Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision. Have your kids look into each one to see the applications for each of these technologies. Whichever one they gravitate towards, go for that one first.

If your college is not offering Ai courses have them take the following classes:

• Computer Science

• Statistics

• Mathematics

• Engineering

• Data Science

• Information Technology

• Probability

• Calculus

• Algebra

• Statistics

Below are some online platforms that offer courses in Ai and everything else I have mentioned above. Udemy and Coursea tend to have the best courses from what I have seen thus far. They are always adding new courses that stay up to date with how fast technology is moving.

The certification courses from the specific companies and schools below are always a quick win too. You can’t go wrong with any of the ones I listed.

Certifications and Courses:

• Online Platforms:

  • Coursera

  • Udemy

  • edX

  • Khan Academy

• Certifications:

  • Google AI Certification

  • IBM Data Science Professional Certificate

  • Microsoft Certified: Azure AI Engineer Associate

  • MIT Artificial Intelligence and Machine Learning Certification

What are you or your kids looking into now in regard to Ai jobs and courses?

Email me at [email protected] and let me know! 😃 

Stay tuned for more Ai fun with Daddy Ai next week!

Stay curious and creative,

Tommy Beringer - Father of 2 Beautiful Girls and Founder of Daddy Ai