What are the best job opportunities in AI?

Well, who better to ask than AI itself? We thought it could be a fun experiment to compare and contrast language model results, so we asked both Bard and ChatGPT this exact question: “What are the best job opportunities in AI?” The answers are given exactly as formulated by the language models with no edits at all for language. The only thing we added for ease of reading is to bold some of what we consider to be headers.

Here is Bard’s answer:

The best job opportunities in AI are in the following areas:

Machine learning engineer: Machine learning engineers develop and apply machine learning algorithms to solve real-world problems. They use their knowledge of statistics, mathematics, and computer science to build models that can learn from data and make predictions.

Data scientist: Data scientists collect, clean, and analyze data to find insights that can be used to improve business decisions. They use their knowledge of statistics, mathematics, and programming to develop models that can extract meaning from data.

AI research scientist: AI research scientists develop new AI algorithms and techniques. They work in academia, industry, and government to advance the state of the art in AI.

Robotics engineer: Robotics engineers design, build, and test robots. They use their knowledge of mechanical engineering, electrical engineering, and computer science to create robots that can perform tasks in a variety of environments.

Computer vision engineer: Computer vision engineers develop and apply computer vision algorithms to solve real-world problems. They use their knowledge of mathematics, computer science, and statistics to build models that can understand and interpret images and videos.

These are just a few of the many job opportunities in AI. As AI continues to grow and evolve, new job opportunities will emerge. If you are interested in a career in AI, there are many resources available to help you get started. You can find online courses, bootcamps, and degree programs that can teach you the skills you need to succeed in this field.

Here are some additional tips for getting a job in AI:

Build a strong portfolio: A portfolio of your work is essential for any job search. Make sure to include projects that demonstrate your skills in machine learning, data science, AI research, robotics, or computer vision.

Network with people in the field: Attend conferences, meetups, and other events where you can meet people who work in AI. Networking is a great way to learn about job opportunities and make connections that can help you get your foot in the door.

Stay up-to-date on the latest trends: AI is a rapidly evolving field, so it’s important to stay up-to-date on the latest trends. Read blogs, attend conferences, and take online courses to stay ahead of the curve.

With hard work and dedication, you can build a successful career in AI.

…and here is ChatGPT’s answer:

As of my knowledge cutoff in September 2021, the field of AI offers various promising job opportunities. However, please note that the job market is dynamic, and new opportunities may have emerged since then. Here are some of the top job opportunities in AI:

1. Machine Learning Engineer: These professionals develop and deploy machine learning models and algorithms. They work on tasks such as data preprocessing, model selection, feature engineering, and model evaluation.
2. Data Scientist: Data scientists use their analytical and statistical skills to extract insights from large datasets. They apply machine learning techniques, statistical modeling, and data visualization to solve complex problems and make data-driven decisions.
3. AI Research Scientist: AI research scientists focus on advancing the field of AI by conducting research, developing new algorithms, and designing innovative AI models. They typically work in academia or research-focused organizations.
4. AI Ethics Specialist: With the increasing impact of AI on society, there is a growing need for professionals who can address ethical concerns. AI ethics specialists ensure that AI systems are fair, unbiased, transparent, and respect privacy.
5. AI Consultant: AI consultants work with organizations to identify opportunities where AI can enhance their operations and provide strategic guidance on AI adoption. They analyze business processes, design AI solutions, and oversee implementation.
6. AI Product Manager: AI product managers are responsible for defining and managing AI-related products and services. They collaborate with cross-functional teams to develop AI-powered solutions that align with market needs and drive business growth.
7. Robotics Engineer: Robotics engineers combine AI and robotics to design, develop, and deploy intelligent robots. They work on tasks such as perception, motion planning, control systems, and human-robot interaction.
8. AI Software Developer: AI software developers specialize in creating software applications that incorporate AI capabilities. They build AI algorithms, develop AI frameworks, and integrate AI components into existing software systems.
9. Natural Language Processing (NLP) Engineer: NLP engineers focus on developing algorithms and systems that enable computers to understand, interpret, and generate human language. They work on tasks such as machine translation, sentiment analysis, and speech recognition.
10. AI Project Manager: AI project managers oversee AI initiatives within organizations. They ensure project milestones are met, manage resources, and communicate with stakeholders. Strong project management skills and AI knowledge are essential for this role.

Remember that the field of AI is rapidly evolving, and new job opportunities may emerge as the technology advances. It’s important to stay updated on the latest trends and developments in the field to identify the most relevant and promising job opportunities.

These answers were generated on May 15, 2023

As expected, these answers resemble each other but not without differences. In terms of length, they fall within 10% of each other. Bard produced a 388-word answer while ChatGPT offered a 424-word answer. ChatGPT offers an “As of my knowledge cutoff in September 2021” disclaimer while Bard is not offering any disclaimer. This may be because Bard is still in beta release mode or “experimental” as Google puts it.

If you have any comments or thoughts, don’t hesitate to add them below.