Careers After AI: Top 5 Jobs For Future

Future AI Jobs: Artificial Intelligence has been the ‘Talk of the town’ after the arrival of generative artificial intelligence. Tools like ChatGPT, Google Bard, and Midjourney are powered by generative artificial intelligence (AI), which is trained on human-created content and can generate visuals or text in response to cues. It promises to automate many of the tasks we currently perform manually.

While this appears to be a boon, it has also prompted individuals to fear for their jobs. Indeed, in a paper on the effects of AI on economic growth, Goldman Sachs stated, "If generative AI delivers on its promised capabilities, the labour market could face significant disruption," estimating that 300 million jobs could be affected.

But, the most important factor with the arrival of AI is the generation of several jobs that it will create. According to the World Economic Forum's Future of Jobs Report, 2025, AI is projected to generate millions of jobs globally. The growing demand for AI talent will reshape the workforce, leading to the emergence of various AI-related roles. Below, we dive into the top 5 AI jobs that are expected to thrive in the future.

Here are top 5 jobs AI will create:

1. Machine Learning Engineer:

Courtesy: Medium

Machine Learning Engineers are at the heart of AI development. They are responsible for designing and developing machine learning models that can analyze large datasets, make predictions, and continuously improve over time.

Key Responsibilities:

• Designing and optimizing machine learning algorithms to improve model accuracy
• Deploying machine learning models in production environments
• Managing data pipelines and ensuring data flow for AI systems
• Collaborating with cross-functional teams to integrate AI solutions

Salary Range: $90,976 - $234,208 approx.

Educational Requirements:
A bachelor’s or master’s degree in computer science, data science, or engineering is typically required. For advanced research roles, a Ph.D. is preferred.

2. Natural Language Processing (NLP) Engineer

NLP Engineers specialize in enabling machines to understand and interpret human language. Their role involves developing models and techniques that allow machines to process unstructured speech and text effectively.

Key Responsibilities:

• Developing and optimizing NLP algorithms for language understanding
• Using large text datasets to train machine learning models
• Implementing NLP solutions in applications like chatbots and virtual assistants
• Collaborating with other engineers and data scientists to integrate NLP models into broader AI systems.

Salary Range: $77,022 - $208,624 approx.

Educational Requirements:
A bachelor’s or master’s degree in computer science, linguistics, data science, or a related field is typically required. Certifications like Google Cloud Professional Data Engineer and AWS Certified Machine Learning can be beneficial.

3. AI Ethics Consultant:

Courtesy: Analytics Insight

AI Ethics Consultants ensure that AI systems are developed and implemented in an ethical manner. They work to identify and address potential biases and other ethical issues in AI systems, ensuring compliance with laws and regulations.

Key Responsibilities:

• Conducting ethical impact assessments to detect biases in AI systems
• Advising development teams on ethical AI practices
• Ensuring AI systems comply with relevant legal frameworks
• Educating stakeholders on the importance of ethics in AI
• Monitoring AI systems for continued ethical compliance

Salary Range: $134,336 - $224,064 approx.

Educational Requirements:
A bachelor’s or master’s degree in ethics, philosophy, law, or computer science is generally required. Certifications such as Certified Ethical Emerging Technologist (CEET) can provide an edge.

4. AI Research Scientist:

Courtesy: Mockplus Cloud

AI Research Scientists conduct experiments and research to advance the field of artificial intelligence. They work on developing new algorithms, models, and AI systems that push the boundaries of what AI can achieve.

Key Responsibilities:

• Conducting cutting-edge research in AI and machine learning
• Designing experiments to test the efficacy of AI solutions
• Publishing research findings in academic journals and presenting at conferences
• Collaborating with academic institutions and industry leaders on research projects
• Mentoring junior researchers and guiding research teams

Salary Range: $108,768 - $252,768 approx.

Educational Requirements:
A Ph.D. in computer science, mathematics, or data science is generally required for research roles. Relevant certifications such as the MIT Professional Certificate in Machine Learning and AI can be an advantage.

5. Robotics Engineer:

Courtesy: Digital Nirvana

Robotics Engineers focus on designing, developing, and testing robotic systems that integrate automation and AI to operate efficiently and autonomously.

Key Responsibilities:

• Designing and prototyping robotic systems
• Testing and troubleshooting robotic systems to ensure functionality
• Analyzing customer needs to guide design decisions
• Creating technical documentation for robotic systems
• Collaborating with cross-functional teams to integrate robotic solutions

Salary Range: $69,216 - $175,072 approx.

Educational Requirements:
A bachelor’s or master’s degree in robotics, mechanical engineering, or electrical engineering is typically required. Certifications such as Certified Robotics Engineer (CRE) will enhance job prospects.

Conclusion:
The integration of AI into various industries is not only automating existing tasks but also creating new career opportunities. The rise of roles like Machine Learning Engineers, NLP Engineers, and AI Research Scientists underscores the growing need for specialized skills in AI and technology. By acquiring the necessary skills and certifications, professionals can future-proof their careers and be well-prepared for the job market of tomorrow.