9 Remote Jobs in Artificial Intelligence (+Infographic)
Demand for AI talent has been growing exponentially over time. However, with covid19, the need for remote jobs in artificial intelligence has gone through the roof as more AI professionals choose to work from home, and more companies embrace it.
Despite the notion (and reality) that artificial intelligence is destroying jobs, it’s also creating jobs on a massive scale. Between June 2015 and June 2018, job postings with “AI” or “machine learning” increased by more than 100% according to a report by job site Indeed.com
Below are some of the best remote AI jobs poised to grow even further in demand.
Best Remote Jobs in Artificial Intelligence
Machine Learning Engineers
Machine learning engineers are among the most sought-after professionals, making this one of the best remote jobs in artificial intelligence.
These engineers develop devices and software that uses machine learning and predictive technology such as Siri, and weather forecasting apps.
They ensure that the machine learning algorithms have enough of the correct data for analysis and real-time learning, while also making sure the machine learning models are accurate.
Machine learning engineers take home a good salary, earning a median salary of more than $114,121 according to Glassdoor.
Preferred Qualifications: The companies hiring machine learning engineers prefer candidates with advanced degrees in math or computer science. The candidates should also have working knowledge in modern programming languages like Java, Python, Scala, etc.
Algorithm Developers / Engineers
Algorithms rule the world, making algorithm developers/engineers, one of the most in-demand AI professionals.
We use algorithms every day, sometimes without even realizing it, from your Google results to recommendations on what to watch next on Netflix, to your car’s navigation determining the most optimal route to get home based on road conditions.
Algorithm developers create and fine-tune the step by step instructions that make our lives easier and effortless.
Algorithm engineers earn an average salary of $121,500 per year, according to Payscale.
Preferred qualifications: At least a Bachelor’s degree in mathematics, programming, computer science, statistics, or a related field. Potential candidates must also have solid skills in predictive modeling, machine learning, and modern computer programing languages.
Chatbot Developer / Engineer
Chatbots have gained popularity in recent years as businesses move to provide instant customer service and help. Chatbot developers are behind these modern marvels, creating the bots from the ground up.
No two chatbots are the same. They rely on specialized knowledge about a company and it’s business or products to offer the most relevant assistance.
AI-based customer service chatbot will require large sets of customer email histories to learn and evolve.
Chatbot developers put all this together, using their understanding of natural language processing (NLP). Linguistics, semantic design, relational databases, and an array of programming languages. They must have a thorough knowledge of multiple programming languages, machine/deep learning techniques, and other fields.
On the bright side, Chatbot engineers take home a healthy salary of about $80,000 per year according to Glassdoor estimates.
Business Intelligence Developer
Business intelligence developers work on creating Ai-based enterprise solutions. Their work encompasses large-data and enterprise data analytics, including historical records, real-time data, and predictive technologies to guide business decisions and operations.
Given the diverse and sometimes complex needs of most business enterprises, BI developers create the necessary systems to deploy resources while improving operational efficiency optimally.
They model data, develop analytic tools, fine-tune business processes, research, and develop solutions to companies’ problems.
Business Intelligence developers make an average base salary of $90,000, according to Glassdoor.
Preferred Qualifications: BI developers should have a thorough understanding of business concepts, data mining, testing, analysis, and communication. They should also have a Bachelor’s degree, or equivalent, in Computer Science with a solid grounding in software development alongside knowledge in SQL queries, SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS).
AI Training Data Annotator
Unlike other remote jobs in artificial intelligence, the AI data annotation job is unique. For one, it doesn’t require advanced education or skill set. As such, it’s especially ideal for people in rural areas reskilling from dwindling careers, or even for people in developing nations.
So what does an AI data annotator do?
An AI data annotator analyzes, labels, and classifies data for computer use. Think of it this way, unlike humans, computers only understand ones and zeros. For example, it doesn’t recognize a cute cat in a photo and requires a human first to identify the cat and label it as a cat. It’s only after looking at thousands or millions of cats that it starts to decipher the data points that make a cat.
Artificial intelligence relies on massive amounts of data for training. The data also needs to be accurate; otherwise, the AI won’t work.
Data annotators make it easier for AI algorithms to understand the data from a human perspective. For example, take self-driving cars to navigate a street; the algorithm must differentiate between pedestrians and stationary objects such as bins or bushes. An annotator comes in and labels these images identifying cars, traffic lights, pedestrians, bikes, etc.
It’s not a sexy job, but the demand for accurate AI training data is sharply rising, creating a more significant need for these AI professionals.
AI Data annotators make an average base pay of $15 per hour, according to Glassdoor.
Preferred Qualifications: A general understanding of computer systems and AI technologies.
Data scientists, as the name suggests, work with massive amounts of data (also known as Big Data). They analyze, visualize, model, and draw conclusions from the data.
“Data is the new oil” according to an Economist piece, and data scientists are at the frontier in making sense and extracting value from the data.
That data is everywhere (or can be quickly taken there) makes this one of the best remote jobs in artificial intelligence.
So what do data scientists do? They collect, clean, analyze, and interpret large data sets using machine learning techniques. As such, data scientists require high-level skills in manipulating large, complex data sets and an understanding of predictive technologies. They are a combination of data analysts, programmers, statisticians, and scientists.
A 2018 LinkedIn Workforce Report estimated that the U.S faces a shortage of 151,717 data scientists.
Data scientists command an annual average salary of $113,309, according to Glassdoor.
Preferred Qualifications: At least a Bachelor’s Degree and an Advanced degree in Statistics, Mathematics, Computer Science, or any other quantitative field. They must also have hands-on statistical modeling skills and a good understanding of machine learning techniques.
Not all remote jobs in artificial intelligence come with sexy titles. This is one of them. Yet, software engineers play a vital role in the AI industry. These are professionals who use their understanding of engineering principles and different programming languages to build cutting-edge software products, games, or even network control programs.
Software engineers turn the often complex AI ideas, and theses, and turns them into prototype software applications that other AI professionals can use to test their ideas.
These engineers have in-depth knowledge of programming languages, software development principles, and computer operating systems.
According to Glassdoor, software engineers are among the most sought after professionals earning a median salary of $112,000 per year.
Computer Vision Engineer
Computer vision engineers earn one of the highest average salaries among AI professionals at a wage of $99,619 per year.
So what is computer vision? Loosely defined, computer vision tech is an interdisciplinary field that deals with how to program computers to achieve a better understanding through processing digital images and videos.
An excellent example of computer vision tech is in the classification of photos on social media sites.
In layman terms, therefore, computer vision tech is about teaching computers to “see” like humans.
Computer vision engineers rely on massive data sets used to train computer systems to identify and interpret visual images. They must also understand concepts of multi-view geometry, simultaneous localization, and mapping (SLAM), among other skills.
Preferred qualifications: Expertise in deep learning techniques, machine learning, and working with big data along with a hands-on grasp of modern programming languages.
Deep Learning Engineer
In-depth learning engineering is yet another fast-growth career path in AI. A good salary and an ability to work from anywhere makes this job one of the best remote jobs in artificial intelligence.
So what do deep learning engineers do? At the most basic level, deep learning engineers develop programming systems that mimic brain functions, among other computer learning tasks.
These AI professionals are at the center of three rapidly growing fields: autonomous driving, facial recognition, and robotics. The facial recognition market is, for example, expected to grow from just $3.2 billion in 2019 to $7 billion in 2024, further cementing the demand for deep learning experts.
The average salary for “deep learning engineers” ranges from $72,046 per year of regular engineers to 143,420 per year for Computer Vision Engineers according to Indeed.com
Preferred qualifications: Candidates looking for deep learning engineering jobs must have experience in statistical models, a grounding in algorithms, and knowledge of modern object-oriented programming languages such as Python, Go, and Scala.
Remote jobs in artificial intelligence are poised to grow as Covid19 disrupts how we do business. The infographic below breaks down the opportunities.