Beat AI Unemployment Worries: Land a Rs 2-Crore Job as a ChatGPT Prompt Engineer

The contemporary tech world is abuzz with discussions about ChatGPT, which is rapidly gaining popularity along with the field of artificial intelligence (AI). The growth of AI has led to the emergence of high-paying jobs, such as the position of prompt engineers.

According to reports from Bloomberg News, prompt engineers can earn up to $335,000 or about Rs 2 crores per year.

If you're curious about who prompt engineers are and why they are in demand, here's a brief overview. Prompt engineering is a new job position in the realm of AI, where professionals converse with AI chatbots to find ways to complete tasks more efficiently. Prompt engineers also discover flaws and hidden talents in AI so that developers can fix them. These professionals use predetermined terms or manipulate language to elicit specific responses from the AI.

The Role of Prompt Engineers

Prompt engineers spend most of their time conversing with AI to generate the most relevant set of results. They assist businesses in instructing their workers on how to use the tools after identifying the appropriate prompts. These prompts are then saved as pre-sets so that clients and other users can use them in the future.

Eligibility Criteria for Becoming a Prompt Engineer

Currently, there are no specific education or training requirements to become a prompt engineer. However, research indicates that these high-paying positions often go to individuals with PhDs in machine learning or ethics or those who have founded AI startups.

However, one may wonder what skills are necessary to become a prompt engineer. Here are a few:

Good writing and communication skills are essential, along with knowledge of AI models, their limitations, and how they function. The job primarily involves communicating using the appropriate set of words.

Moreover, having a basic understanding of natural language processing can be advantageous. A rudimentary understanding of coding can also assist in determining the desired outputs from the AI.