If you have always been interested in artificial intelligence but aren't sure if a job in this sector is for you, this article will help you.
Being an artificial intelligence researcher means that a lot of the times, you will face the unknown, as many fields in A.I. exists and some of them are still very mysterious. Like most of the researchers' job, you will navigate on unknown territory. Be ready to face some controversies about securities if you are involved with personnel data.
Researchers in A.I. has two sides to their job. First, they are often employed by other businesses to create an A.I. program specifically for them. Second, they research and develop ways to make A.I. the best tool it can be with a more theoretical, but still based on some real-life problem, approach.
Depending on if you are under a contract with a client, your day can be really different. If you are under a contract, your day will be used in the majority to answer the client's wishes. Even then, it is recommended to take some time to think about the possible lesson it can provide. If there is no contract, the time could be used to plan research based on the trends of the clients' demands or test some new algorithms.
Since A.I. is a fairly new field of study, a researcher will often work for either a university, a big company, or a startup. While it may seem as if there is no option, it is good to know that worldwide, there was over 3,465 startup in A.I., according to Statistica
As written from an interview with Garcia Liang, the key to become an A.I. researcher is to know the subject, have the coding abilities, and have experience in applied A.I., not only theoretical. Furthermore, she added that while a Ph.D. isn't an obligation, a constant need to hone skill thirst for knowledge is.
According to Payscale, the average research scientist earn about 67k$. There are no large scale studies on A.I. researcher. Remember that a scientist's job earning is highly dependent on the success and discoveries you make.
A.I. researcher needs to be able to use their logic and their patience, as not everyone is as informed about the possibilities as you. If you are in a big company, you might end up in the positions to deal with some other sector who aren't sure about what you proposed. If that is the case, you'll need good convincing skills.
Like every desktop job, the risk and danger of being an A.I. researcher aren't physical. An A.I. researcher needs to be careful about what they include in the algorithm. If you touch personnel data in your job, be extremely careful with them, because your career can stop right there if you aren't.
I would say that robots will replace politicians before their makers. Even if a true A.I. is undoubtedly impressive, humans still need to code the algorithm that humans need. After all, humans aren't good to know what they need, but they are good to know what they want.
Since A.I. is a pretty new field of study, A.I. researchers aren't in age to retire just yet. Based on other researchers, retirement doesn't come early. However, as The Scientist reports, it may not come from a lack of money, but rather comes from "a desire from some to participate in science for longer".
In conclusion, I hoped really much that this summary about the job can persuade you to embark on a fantastic adventure at the research of the unknown and that you may help shape the future.
Rationale: to inform or educate
Authority: research journal
Date: recently published
Accuracy: probably true
Relevance: relevant for this document
Sources: cites sources
Rationale: to inform or educate
Authority: research journal
Date: still relevant
Accuracy: probably true
Relevance: relevant for this document
Sources: cites sources