Top 5 Freelance Artificial Intelligence jobs to watch out for in 2021

If you are an Artificial Intelligence (AI) professional and are not sure what job you can do next, this article is for you. The escalation in the AI career opportunities is a great one, owing to its surging demands in all sorts of industries. As business models are changing and all the marketers look to make use of advanced technology for their products going online, the notion that AI will create millions of jobs is justifiable and has already started to do so. Hence, these days, career paths in AI look more promising than any other job.

The AI Industry

In recent years, and more so because of the COVID-19 pandemic, Artificial Intelligence has gained a lot of momentum. On one hand, the coronavirus pandemic proved as an opportunity for companies, as more and more industry leaders, along with small startups, want to implement AI solutions for their products and websites because of which their hiring rates have risen but on the other hand, there is a shortfall of talent that is required.

The main reason for this is potential scenarios of increased business revenue, reducing manual labour, and increasing efficiency. Therefore, technology has its presence in areas of accounting, speech translation, medical diagnosis, and so on, which tend to outperform manual tasks and human work.

Top 5 AI jobs

Here are the five freelancing job roles for Artificial Intelligence professionals to look out for:

1. Full Stack Developer

Full-stack developers are in great demand as companies work rigorously towards developing a website. They need to know the know-hows of handling databases, clients, system engineering, and design. Writing and implementing efficient codes is another major task for them. So, for the development of the Research and Analysis Tool, companies look out for backend and frontend development along with CRM.

2. AI Project Manager

You might wonder if a manager can really work as a freelancer. But the answer is that they can. Their major job is implementing AI and Machine Learning (ML) onto platforms and assisting the team with the projects. They come on board only for the purpose of managing one project of publishing AI-enabled websites. An AI project manager’s role includes running artificial intelligence-related projects in a company. They need to have an understanding of many aspects of AI such as ML, deep learning, automation, robotics, natural language processing, etc.

Also Read: Aiming to dive into the ocean of Artificial Intelligence? Here are the most recommended books on Data Sciences to go for in 2021!

3. R Algorithm Developer

An R developer is a software developer who specializes in the free software environment and programming language known as R. An R developer’s role revolves around writing code for data analysis, statistical computing, and modeling. The job roles of an R algorithm developer include performing the operations of ML-like regression and classification, besides offering features and packages for building AI neural networks. 

4. Data Scientist

Data scientists are big data wranglers, who gather and analyze large sets of structured/unstructured data. They are analytical experts who utilize their skills in, both, technology and social science for finding out trends and managing the data. They also need to use industry knowledge, contextual understanding, and skepticism of existing premises in order to find solutions to business problems. They work with various programming languages like Python, R, and Spark. A data scientist’s work would include making sense of the unstructured data by sources like smart devices, social media feeds, and emails that do not fit neatly into a database. They have to analyze, process, and model the data, then interpret the results to develop implementable plans for the given organization.

Also Read: Need guidance for stepping into the data science world? Don’t worry, we got you covered

5. Topic Modeling in Python

Topic Modeling is a technique for extracting the hidden topics from large volumes of text. Latent Dirichlet Allocation (LDA) is a popularly known algorithm for the same along with excellent implementations in the Gensim package of Python. However, the challenge is to extract a good quality of topics that are clear, segregated, and meaningful. This is largely dependent upon the quality of text preprocessing and the strategy used for finding the optimal number of topics. Your job as a freelancer would be to work on the topic of modeling reviews with different methods such as LDA. The major job roles are working with the trial-and-error method on distinct topics and AI algorithms to get reviews.

What are the salaries in AI Jobs?

Salaries for Artificial Intelligence freshers start at about Rs. 6 Lakh in India. The salaries may go up to Rs. 12 LPA, is usually offered by large corporates such as Amazon, Flipkart, Google, and Facebook. Prospects with strong foundational knowledge in Data Science along with some years of work experience can earn up to as high as Rs. 17 LPA. 

For most of the AI jobs in India, the salary is much higher than the national average. This means that professionals who possess AI skills and standard educational qualifications tend to earn higher than their counterparts having similar educational qualifications but without AI-related skills.

A few top-ranked AI job profiles with their approximate average annual salaries are:

However, the annual packages of AI jobs roles vary according to location as well. For example, Mumbai offers the highest salary in India at Rs 15.6 LPA, followed by Bengaluru at Rs 14.5 LPA. Chennai offers the lowest salary package at Rs. 10.4 LPA. 

As the rate of technology adoption by the companies is increasing despite the Covid-19 crisis, it can be concluded that skills in technology stacks, deep industry, applied intelligence, etc. are a great career option and seem to be a must-have in one's career track.

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