2019 Jobs – 5 Jobs That Didn’t Exist 10 Years Ago

What did you want to be when you were a kid? Firefighter, movie star, princess, and teacher are all common choices when we’re children.

Little did we know that there were cool and interesting jobs that hadn’t even been invented for us to consider! As we progress in our society and technologically, we need to invent new jobs to handle all of that progress and follow the trends.

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The five jobs in this post either didn’t exist or barely existed in the ancient times of the early 2000s. Keep reading to learn more!

1. Food Truck Coordinator
Food truck catering and food trucks in general are not a brand new concept, but the explosion in popularity is. It’s estimated that from 2011 to 2017, the industry has grown almost 8 percent every single year leading us to 2019 where the food truck industry has an estimated total revenue of $1 billion.

Because of this huge increase in food trucks, the career of food truck coordinator has emerged. Similar to an event planner or scheduler, a food truck coordinator is often responsible for a number of tasks, including:

Booking food trucks for events
Scheduling food truck catering
Event planning for parties, festivals, gatherings, and more
Advertising/marketing their events
Organizing certifications, paperwork, and other legal food truck regulations
Ensuring payment for food truck operators
2. Social Media Manager
In 2009, Facebook was a mere 5 years old with about 150 million users, LinkedIn had 55 million users, Twitter was barely used, and Instagram, Snapchat, and Pinterest didn’t even exist yet! Compare that to monthly users now: Facebook has 2.37 billion, Instagram boasts 1 billion, and Twitter has 330 million.

In 2009, social media certainly existed, but it didn’t have the scale or impact it has now. As the years have gone on, businesses have started to understand the huge impact and opportunity that social media can have on revenue and traffic.

Thus, the professional social media manager was born.

Social media managers analyze and run business social media pages on any and all influential platforms. They have to craft interesting and engaging posts to gain a great brand reputation, drive traffic to other channels, and even influence sales all while staying up to date on the latest social media trends, memes, and news!

3. Professional YouTuber
What began as a small site for posting cat videos and people falling on skateboards has now become the second most popular social media platform with 1.9 billion monthly users that generates an estimated $16 billion per year.

Thanks to the huge audiences and companies begging for YouTube advertisements and influencer marketing campaigns, popular YouTube content creators can make a career of creating videos. For example, the popular vlogger (“video blogger”) Lilly Singh brought in an estimated $10.5 million in 2018 thanks to her huge audience of 13 million subscribers.

4. Drone Operator
As with social media and food trucks, drones aren’t a new invention. However, as technology has improved, more advanced drones are being used for a number of applications.

Think about this: in 2009, there were only 146 drone permits in the United States. Not many, if any, opportunities to make a career out of flying drones.

Now, think about the growth the industry has seen: in 2018, the drone market had an estimated value of $14.2 billion . By 2024, it’s estimated that that number will almost triple up to $43.1 billion.

All of this growth in the drone industry means there’s a huge demand for certified and professional drone operators. From filmmaking to military use to disaster relief to package delivery, there are all sorts of positions available for “drone operator” to be considered a real career.

5. Uber Driver
While it might not be as exciting as operating a drone, operating a vehicle can now pay the bills. Uber was founded in March of 2009, Uber is now worth $72 billion and employs over 3 million drivers.

Navigating the Landscape of React Architecture for Large Applications

In the bustling tech hub of Hyderabad, where innovation meets expertise, the demand for quality React training is on the rise. As aspiring developers seek to master React, it’s crucial to not only understand the fundamentals but also delve into the intricate world of React architecture, especially when dealing with large-scale applications.

Hyderabad has emerged as a hotspot for technology education, and React training is no exception. The city boasts reputable training institutes equipped with experienced instructors, state-of-the-art facilities, and a thriving tech community. Enrolling in React training in Hyderabad provides a conducive environment for honing skills in this powerful JavaScript library.

The core of React lies in its component-based architecture. React components are modular units that encapsulate specific functionality, promoting reusability and maintainability. During React training in Hyderabad, participants delve into the nuances of creating and managing components, setting the foundation for building scalable applications.

While React provides a robust foundation, large applications require a well-thought-out architecture. React training in Hyderabad emphasizes the significance of architecture in managing complex codebases, ensuring scalability, and fostering collaboration within development teams.

In the training sessions, participants explore the basics of React architecture. The Virtual DOM, a key concept, enables efficient updates, optimizing performance in large applications. Understanding the one-way data flow in React further enhances developers’ ability to create predictable and maintainable code.

React training in Hyderabad delves into breaking down large applications into manageable, reusable components. Participants learn to manage state and props effectively, mastering the art of creating modular, maintainable code structures.

As applications scale, effective state management becomes crucial. React training equips developers with knowledge about state management libraries like Redux, empowering them to handle complex state scenarios seamlessly.

In the dynamic world of web development, performance is paramount. React training in Hyderabad covers performance optimization techniques, including code splitting and lazy loading, ensuring large applications load efficiently for an enhanced user experience.

The training program emphasizes strategies for scalability and maintainability. Participants learn to modularize code, implement a sound folder structure, and adopt best practices to navigate the challenges of maintaining large React applications.

Testing is a cornerstone of reliable application development. React training sessions include in-depth coverage of testing strategies, ensuring developers can create robust and stable applications even in the complexity of large-scale projects.

React training in Hyderabad addresses the crucial aspect of security. Participants learn to implement secure coding practices, staying vigilant against potential vulnerabilities to fortify their applications against security threats.

In large teams, collaboration is key. React training instills the importance of version control systems and robust code review processes, enabling participants to contribute effectively to collaborative development efforts.

While exploring React architecture, participants also gain insights into the concept of micro frontends. Understanding the pros and cons allows developers to make informed decisions on whether to adopt this approach in their projects.

The training program includes real-world case studies showcasing successful implementations of large applications using React architecture. Drawing lessons from these examples provides valuable insights for developers embarking on similar projects.

Staying ahead in the tech landscape requires an awareness of future trends. React training in Hyderabad includes discussions on emerging trends in React architecture, equipping participants to adapt to evolving technologies.

In conclusion, React training in Hyderabad offers a comprehensive learning experience, covering the essentials of React fundamentals and delving deep into the complexities of architecture for large applications. Aspiring developers in Hyderabad have the opportunity to not only master React but also navigate the challenges of building scalable and efficient applications.

AI vs Data Science: Choosing the Best Career Path

Artificial Intelligence (AI) and Data Science are two of the hottest fields in the tech industry. With the rapid advancements in technology, the demand for professionals in these domains has skyrocketed. But what exactly are AI and Data Science, and which career path should you choose? In this article, we will delve into the intricacies of AI and Data Science, explore their roles and responsibilities, and ultimately help you make an informed decision about your career.

AI vs Data Science: What Are They?Artificial Intelligence (AI)

Artificial Intelligence refers to the development of machines and software that can imitate human intelligence and perform tasks without human intervention. It encompasses various technologies and techniques that enable machines to perceive, reason, learn, and make decisions. AI can be categorized into narrow AI, which is designed for specific tasks, and general AI, which aims to replicate human-level intelligence across a wide range of tasks.

Data Science
Data Science, on the other hand, revolves around extracting insights and knowledge from vast amounts of structured and unstructured data. It involves a combination of statistical analysis, machine learning, and data visualization techniques to uncover patterns, trends, and correlations in data. Data Scientists utilize their analytical skills to transform raw data into actionable insights that drive business decisions and strategy.

While AI focuses on creating intelligent machines, Data Science is primarily concerned with analyzing and interpreting data to derive meaningful insights.

AI vs Data Science: Roles and ResponsibilitiesAI Engineer
AI Engineers are responsible for designing, developing, and deploying AI-based models and systems. They work on training machines to perform specific tasks and develop algorithms that enable machines to learn from data and make intelligent decisions. AI Engineers collaborate with domain experts to understand business requirements and develop AI solutions that address specific problems. They work with various tools and technologies, such as machine learning frameworks, neural networks, and computer vision, to build intelligent systems.

Data Scientist
Data Scientists, on the other hand, are experts in analyzing and interpreting complex data sets to extract valuable insights. They employ statistical techniques, machine learning algorithms, and data visualization tools to identify patterns, trends, and relationships in data. Data Scientists work closely with stakeholders to understand business objectives and develop analytical models that provide actionable insights. They have a strong understanding of programming languages like Python and R, as well as data manipulation and data management techniques.

While both AI Engineers and Data Scientists utilize machine learning techniques, AI Engineers focus more on the development and deployment of AI models, while Data Scientists specialize in analyzing and interpreting data to drive decision-making.

AI vs Data Science: Which Is the Better Career Option?
Choosing between AI and Data Science depends on your interests, career goals, and skill set. Here are a few factors to consider:

Interest in Research and Analysis
If you are passionate about research and enjoy diving deep into data to uncover insights, Data Science might be the right path for you. Data Scientists play a crucial role in identifying trends, patterns, and correlations in data, and use their findings to drive business strategy. They have a strong foundation in statistics, mathematics, and analytical thinking.

Focus on Engineering and Development
On the other hand, if you are more inclined towards building intelligent systems and developing AI models, AI Engineering might be the better fit. AI Engineers work on designing and implementing algorithms, training models, and deploying AI solutions. They have a solid understanding of programming languages, machine learning frameworks, and software engineering principles.

Combination of Skills
It’s important to note that both AI and Data Science require a combination of technical skills. Proficiency in programming languages like Python, knowledge of machine learning algorithms, and familiarity with data manipulation and visualization techniques are essential for both fields. It’s advisable to start with a strong foundation in data science, as data is the backbone of AI and machine learning.

Conclusion
In conclusion, AI and Data Science are two distinct but interconnected fields. While AI focuses on developing intelligent systems, Data Science revolves around analyzing and interpreting data to derive insights.

Choosing the best career path depends on your interests, skills, and goals. Whether you decide to pursue a career in AI or Data Science, both fields offer exciting opportunities with high earning potential.

If you’re looking to upskill in AI or Data Science, Tutort Academy offers comprehensive courses in both domains. With hands-on projects and expert guidance, you’ll gain the practical knowledge needed to excel in these high-demand fields.