5 Highest-Paying Jobs in the U.S. That Deal With AI

There is no doubt that AI is the hottest thing in the technology industry right now. Although relatively new to the public, the AI industry has been developing for quite some time now. Evidently, the surge of AI has had a profound and significant impact on job demands.

While other people are finding it hard to balance the rise of AI within their industry, tech people benefit the most in this area as the demand for AI-related jobs increases. The development of AI is a massive and complex work that requires effort and expertise from various professionals. As a result of these hardships, they are often compensated with a huge amount of salaries.

Tech Job
Hack Capital via Unsplash

Here are the highest-paying jobs in the U.S. right now, according to Glassdoor:

1. Business Development Manager

As a business development manager, you are given a critical role to identify and capitalize on the varying opportunities within the AI industry. Managers have the prime responsibility to steer the business's growth and boost revenue through establishing relationships with clients, partners, sponsors, and stakeholders.

According to Glassdoor, the average annual salary of an AI business development manager in the U.S. is around $196,491. Given its high-value investment, it is important to show expertise in market research, strategic partnerships, product knowledge, and more.

2. Computer Vision Engineer

Computer vision engineers handle the development and implementation of computer vision algorithms and systems. They are capable of interpreting visual information like images and videos and translating it into an algorithm. They are in demand in various industries ranging from autonomous vehicles to healthcare, and more.

Glassdoor data revealed that computer vision engineers can earn up to $168,803 per year. Considering that they are the most valuable players in the creation of AR and VR devices, it is only fitting to have this kind of compensation. Some of the important skills include proficiency in programming languages, knowledge of hardware acceleration, and more.

3. AI Engineer

AI engineers are focused on creating AI-powered applications that can be used by various industries. They are professionals who are experts in designing, developing, and implementing AI solutions and systems. Likewise, they are expected to be proficient in programming languages. At the same time, AI engineers should be capable of explaining complex AI concepts to non-technical stakeholders.

Based on Glassdoor, AI engineers have an average annual salary of $160,757. This position also requires engineers to optimize the AI performance, preprocess and clean data, and more. Aside from that, they are also under constant pressure to keep up with the fast-paced evolution of AI.

4. Deep Learning Engineer

Deep learning involves multiple deep neural networks that are used to tackle complex tasks. As an engineer, you are tasked to design and develop architectures for specific AI tasks like recommendation systems or image recognitions. Most importantly, they are the ones that assure the ethical and responsible use of deep learning by addressing bias mitigation and privacy concerns.

With a $141,435 average annual salary, this job requires complex and technical skills from working with deep learning frameworks to specializing in convolutional neural networks. Engineers are also responsible for developing applications using recurrent neural networks.

5. AI Product Manager

As an overseer, AI product managers are expected to be skilled in technology, business, and user experience. They work closely with various teams from data scientists, engineers, designers, and execution teams.

Managers with this expertise can earn up to $128,091 annually. However, they should be capable of creating product strategy, product roadmap, and go-to-market strategy. Managers are also responsible for tracking quality assurance and interpreting user feedback to further improve the product.

© 2024 iTech Post All rights reserved. Do not reproduce without permission.

Tags AI

More from iTechPost

Real Time Analytics