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INFORMATION TECHNOLOGY CAREER GUIDES

AI Trainer Career

OVERVIEW

What Is an AI Trainer?


 

AI training, simply put, involves teaching artificial intelligence to understand user inputs and make decisions. It’s a data-heavy occupation where trainers take large pools of unstructured data and build quality data sets that enable AI to connect the dots and respond correctly to input. 

An AI trainer, for example, may train chatbots or virtual agents how to make sense of customer inquiries and provide helpful, relevant responses. Or as conversational AI platform Boost.ai puts it, AI trainers “are the ones working tirelessly behind the scenes to anticipate customer intent so that every interaction with a virtual agent—in everything from banking or telecoms to the public sector—is as smooth and positive an experience as possible.” AI trainers are responsible for working out the kinks and helping to harness the full potential of AI technology.

Most companies looking to hire an AI trainer seek candidates with a bachelor’s degree in data analytics and data management, as that’s usually the requisite for entry-level jobs. However, more advanced, better-paying positions often require a master’s degree in data analytics.

RESPONSIBILITIES

What Does an AI Trainer Do?

AI training, admittedly, is one of the more meticulous and time-intensive aspects of AI development. But it’s highly important, as AI training is vital for ensuring that AI responds intelligently to user inputs and does its job.

Here are the core tasks that an AI trainer performs:

  • Synthesizing raw, unfiltered data to build well-organized unbiased data sets.
  • Ensuring data is properly annotated according to specific annotation guidelines.
  • Showing AI programs samples of training data and checking the output to see whether it’s correct.
  • Verifying and validating data annotations to ensure that the AI is reading it properly.
  • Re-annotating data when AI doesn’t read data correctly. 

Beyond that, an AI trainer will continually test AI systems to ensure they’re operating efficiently and work to continually refine them. Because AI is evolving at such a fast rate, staying up-to-date on current trends and best practices is also an important part of the job. Therefore, AI trainers are continually learning how to train AI based on cutting-edge technology. 

EDUCATION & BEST DEGREES

What Education Does an AI Trainer Need?

You’ll typically need to have at least a bachelor’s degree in data analytics and data management to get into this career. Going a step further, however, and earning a master’s degree should make you a more appealing candidate to most companies and increase your likelihood of making more money. 

The bottom line is that a bachelor’s degree is usually sufficient for most entry-level positions. That said, having a master’s degree should open up more doors and take you further in your career.

In terms of specific degrees to look into when pursuing a career in AI training, a Bachelor of Science in Data Analytics is a great choice. It focuses on learning how to turn raw data into usable information, as well as performing in-depth data analysis and visualization—all of which are ideal for working as an AI trainer. Another is a Master of Science in Data Analytics, which teaches you to analyze data sets, as well as oversee data management. 

And like most careers in AI, this one is rapidly evolving, which means it’s important to pursue continuing education and specialization courses to keep refining your skills. An advanced AI trainer course, for instance, is something that could make you stand out from other candidates and earn a bigger paycheck. 

Best Degrees for an AI Trainer

Data Analytics – B.S.

Lean into data, and walk away with a cutting-edge online degree:...

Lean into data, and walk away with a cutting-edge online degree:

  • Time: 70% of graduates finish within 37 months.
  • Tuition and fees: $3,735 per 6-month term.
  • Courses: 39 total courses in this program.

Certifications in this program at no additional cost include:

  • AWS Cloud Practitioner
  • CompTIA Data+
  • CompTIA Project+
  • Udacity Nanodegree—a unique, highly recognized credential designed to prepare you for a career in data science
  • MSI Change Management (Optional Certification)
  • Certiprof Design Thinking Professional Certificate (Optional Certification)

There are many job titles a degree in data management and data analytics will prepare you for, including:

  • Data Scientist
  • Automation Architect
  • Business Analyst
  • R Programmer
  • AI Trainer
  • Tableau Report Developer
  • QA Analyst
  • Python Programmer
  • Analytics Manager
  • Data Analyst
  • Database Administrator
  • Statistician

Data Analytics – M.S.

Lead businesses with strong analysis skills:...

Lead businesses with strong analysis skills:

  • Time: 70% of graduates finish within 23 months.
  • Tuition: $4,055 per 6-month term.
  • Courses: 11 total courses in this program.

There are many careers this degree program may prepare you for, including:

  • Data Analyst
  • Data Administrator
  • Business Analyst
  • Data Engineer
  • Business Intelligence Analyst
  • Information Research Scientist
  • Advanced Analytics Expert

Master data mining, visualization, and SQL—and lead analytics at the business of your choice.

How Much Does an AI Trainer Make?

$82,964

As of February 2022, the national average salary for an AI trainer in the U.S. was $82,964, according to Glassdoor. Those at the lowest end of the salary spectrum earn just $52,000 annually and tend to work in entry-level positions. Top earners, however, make around $76,000 per year. Education also heavily impacts AI trainers’ salaries, with individuals with a master’s degree out-earning those with a bachelor’s.

What Is the Projected Job Growth?

15%

AI training is a fairly new profession and a subset of general AI careers. Therefore, there isn’t any data available that specifically shows the job outlook for this career. However, the job outlook for computer and information research scientists—the category an AI trainer falls into—is predicted to grow by 22% from 2020 to 2030, according to the U.S. Bureau of Labor Statistics. That’s “much faster than the average for all occupations” and shows this is a career that’s very much in demand. 

SKILLS

What Skills Does an AI Trainer Need?

Here are some particular skills that are critical to succeeding in this career:

  • Strong analytical abilities. Filtering through large volumes of data and identifying patterns is a big part of this profession.
  • Technical knowledge. You should not only be comfortable using AI, but also a wide range of other software and messaging applications. 
  • A fast-paced working style. Ideally, you’ll thrive working in a fast-paced environment and be nimble enough to quickly change game plans.
  • The ability to work independently. Much of an AI trainer’s work is done on their own, meaning you should be comfortable taking initiative.
  • Writing skills. Although not necessary in all positions, it’s important to have strong writing skills when working with virtual agents or chatbots.

These skills combined should ensure you’re equipped to succeed in this career long term.

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