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Jobs In Artificial Intelligence – How To Make A Career In AI



Key Takeaways

  • AI is here to stay, and it’s likely to mean there are going to be some changes to the world of work. Some jobs will change, and others will be lost altogether.
  • However, as the AI industry explodes, there are a number of roles that will go from the fringes to widely popular, and others that are going to be totally new.
  • Regardless of whether you’re a tech focused data scientist or more a sales and marketing kinda guy or gal, we’ve got a list of AI jobs that’s sure to have something right up your street.

If all the hype around ChatGPT, Dall-E, Tesla’s Fully Self Driving mode and *ahem*, has shown us anything, it’s that artificial intelligence is here to stay. The knee jerk reaction from many old fashioned meat machines, sorry, humans, is a concern around what this means for their income.

For years now, we’ve been told how AI is going to take our jobs, and it’s true that in many industries, machines, robots and other technology have cut workforce numbers dramatically.

With that said, many of the jobs being taken by AI so far are often considered dangerous, repetitive and boring. There aren’t too many people out there who are going to get great job satisfaction from turning the same 5 screws on a production line for 40 hours a week.

But a machine? They don’t care.

So yes, we’re going to continue to see the workforce change as AI innovations help experts do better work, and cut out some of the more basic and fundamental roles in lots of different industries.

Even better, AI is going to create a heck of a lot of jobs too. We’re already seeing the industry explode, and below we’ve covered some of the best jobs to consider, if you’re looking to get into a job in this fast growing industry.


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AI Research Scientist

Let’s start at the beginning. An AI research scientist conducts research in the field of artificial intelligence and machine learning, with the goal of developing new methods and algorithms that can be used to solve a wide range of problems.They’re usually going to work in places like universities, research institutes or in the R&D departments of large tech firms, and they’re at the forefront of developing new AI technologies at the earliest stages. Not only that, but they also consider all of the issues surrounding the use of AI.These research projects can take years to complete, and require significant resources (i.e. cash money).Their research can include areas like the industries that are most likely to be impacted by the use of AI, ethics and even the environmental consequences of widespread AI use.The primary focus for the AI Research scientist is to produce new knowledge and push the state of the art in the field, rather than solving specific business problems.

The work of an AI research scientist covers a ton of ground requiring expertise in computer science, mathematics, and statistics, as well as the ability to think critically and creatively.

AI Data Scientist

An AI data scientist goes a step further from the purely theoretical nature of the Research Scientist, and moves towards practical applications of the AI technology and theory. They use their skills in artificial intelligence and machine learning to analyze and interpret complex data sets, often with the goal of discovering valuable insights and building predictive models.Basically, they find practical applications for the high theory from the researchers.

AI data scientists often work on projects that are related to natural language processing (NLP, like ChatGPT), computer vision (like Tesla’s self-driving mode), or speech recognition (Siri and Alexa).

They also fine tune complex models to allow them to learn from data and make predictions or decisions without being explicitly programmed to do so.

AI data scientists need to know a lot about machine learning algorithms and techniques, and they need to be able to work with large and complex data sets. We’re not talking about a couple of Excel spreadsheets here.

Machine Learning Engineer

Continuing down the process, we’re getting closer towards actual AI products and services that can be used by consumers. That’s what a machine learning engineer does.

Theywho apply their knowledge of machine learning and software engineering to design, develop, and deploy systems that can learn from data and improve their performance over time.

Machine learning engineers often work closely with data scientists to bring machine learning models from the research phase into production. Data scientists give them the algorithms, and engineers put those algorithms into an actual product.

They also often need to integrate their models with existing software systems, which requires a strong understanding of software engineering best practices and a deep understanding of the deployment platform and infrastructures.

Sticking with the example of Tesla’s self-driving mode, the data scientist will create the program with which the AI system is able to sort through its training history and recognise patterns.

It’s this algorithm that will allow the command that says “This is a car, when you see one run out in front of you – hit the brakes.” The engineer will work to implement this algorithm into a Tesla, so that it works as intended and in conjunction with all the other tech in the car.

The role of a Machine Learning Engineer is often broader than the role of a data scientist. Their primary focus is to take the model and make it ready for production and make sure it’s performant and scalable.

AI Product Manager

If you’re not a tech person, don’t worry. There are roles in AI for you too! An AI product manager is less of a scientist or engineer, and more of a sales and marketing person.

They’re responsible for leading the development and launch of AI-based products and services. They have to understand customer needs and market trends, setting product strategy, and working with cross-functional teams to bring an AI product to market.

An AI product manager should have a solid understanding of AI and machine learning concepts, as well as knowledge of the industry and market where the product will be used. With that said, they don’t understand exactly how the tech works, simply what it’s capable of.

AI product managers may work in various settings such as technology companies, startup or consulting firms, or different industry verticals. They work closely with data scientists, engineers, and other stakeholders to ensure that the product is developed and launched successfully.

An AI product manager needs to have the ability to balance technical knowledge, market understanding, customer needs and business objectives to create and market a a successful product.

AI Consultant

An AI consultant is someone who helps non-AI companies and organizations see how they could implement AI into their business..

An AI consultant needs to have a strong understanding of the field of AI and machine learning, including the available technologies and platforms. They should also have expertise in a specific industry or domain, and understand how AI can be applied to address business challenges in that area. That’s why many consultants will specialize in particular fields, such as healthcare or agriculture.

This is another role that doesn’t necessarily require deep technical, scientific understanding of AI algorithms and machine learning. Instead, you could get by with a wide base of knowledge on the AI products and services available within certain sectors, what they do, and how they work.

How you can get an AI investing assistant

If you’re convinced that AI is the future, maybe you want to harness it as your own assistant in your day to day life. If you’ve already got an Alexa, a Ring doorbell, a Roomba (wow, Amazon has really gone all-in on AI huh?) and you’re looking for your next AI helper, what about your investment portfolio?

At, we use the power of AI to give investors access to cutting edge strategies usually only reserved for high flying hedge fund clients.

Examples include our Emerging Tech Kit, which uses AI to predict performance across four tech verticals, and then automatically rebalances each week based on those projections.

Or the Forbes Kit, which takes advantage of our relationship with Forbes and uses their proprietary data and natural language processing to find relationships between trending companies, their overall sentiment and their stock prices.

Not only that, but on our Foundation Kits we also offer Portfolio Protection. This uses AI to analyze your portfolio’s sensitivity to a range of different risks like interest rate risk and volatility risk, and then automatically puts in place sophisticated hedging strategies to help guard against them.

Like we said, it’s cutting edge stuff, and it’s available to everyone.

Download today for access to AI-powered investment strategies.


Bonds See 2023 Recession, Stocks Aren’t So Sure



The yield curve is one of the most robust recession predictors and has signaled a recession may be coming since mid 2022. In contrast, U.S. stocks as measured by the S&P 500 are up materially from the lows of last October and only just below year-to-date highs, seemingly rejecting recession fears. Yet, fixed income markets see the Fed potentially cutting rates by the summer, perhaps reacting to a U.S. recession.

The Evidence From The Bond Markets

The recessionary evidence, at least from fixed income markets, is mounting. The 10 yield Treasury yield has been below the 2 year yield consistently since last July. That is is called an inverted yield curve and has signaled a recession fairly reliably when compared to other leading indicators.

Building on that, fixed income markets see almost a nine in ten chance that the Federal Reserve cuts rates by September of this year. That’s something the Fed has repeatedly said they won’t do on their current forecasts. Yet, a recession could cause it to happen.

The Stock Market

In contrast, the stock market shows some optimism. The S&P 500 is up 7% year-to-date as the market has shrugged off fears of contagion from recent banking issues. In particular, tech stocks have rallied.

In contrast, more defensive sectors such as healthcare, utilities and consumer goods have lagged in 2023. This suggests that the stock market is taking more of a ‘risk on’ position and is perhaps less worried about the economy.


That said the stock market is a leading indicator of the business cycle, it may be that stocks see a recession, but are now looking past it to growth ahead and are factoring in the lower discount rates that a recession might bring as interest rates decline. Also, the U.S. stock market is relatively global, so the fate of the U.S. economy is a key factor in driving profits, but not the only one.

What’s Next?

Monitoring unemployment data will be key. Though the yield curve is a good long-term forecaster of recessions it is less precise in signaling when a recession starts. Unemployment rates can offer more accurate recession timing. Unemployment edged up in February, suggesting a recession may be near, but we’ve also seen monthly noise unemployment. Two similar monthly unemployment spikes during 2022 both proved false alarms.

However, if we see a sustained move up in unemployment from the low levels of 2022 that may be a relatively clear sign that a recession is here. Economist Claudia Sahm estimates that a sustained 0.5% increase in unemployment rate from 12-month lows is sufficient to trigger a recession. Unemployment rose 0.2% from January to February 2023, so maybe we’re on the way there. Of course, the jobs market performed better than expected in 2022 and it could do so again. Still, fixed income markets do suggest a 2023 recession is coming. Stock markets don’t necessarily share that view.

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Which States Have The Highest And Lowest Life Expectancies?



There’s a wide variance of life expectancies among the 50 states in the U.S., according to a recent report prepared by Assurance, an insurance technology platform that helps consumers with decisions related to insurance and financial well-being.

Figure 1 below shows the 10 states with the highest life expectancy, starting with Hawaii, the state with the highest life expectancy.

Figure 2 below shows the 10 states with the lowest life expectancy, starting with Mississippi, the state with the lowest life expectancy.

Assurance scoured life expectancy data prepared in January 2023 by the U.S. Centers for Disease Control and Prevention (CDC). With this data, Assurance created several easy-to-understand graphics that offer information about life expectancies.

Life expectancies are a basic measure of well-being

As measured by the CDC, life expectancies are a basic measurement of well-being in a broad population and not a prediction of how long an individual might live. The CDC measures the expected lifespan for a person born in the year of measurement. This measurement is calculated based on the assumption that the individual will live and die according to the rates of death that are prevalent in the measurement year for each age. There’s no assumed improvement or backsliding in the assumed mortality rates in future years for each age in the life expectancy calculation.


By contrast, an estimated lifespan for an individual would consider their current age, their gender, and some basic lifestyle information. It might also attempt to project future improvements or backsliding in mortality rates based on key factors.

Significant influences on life expectancy calculations

Leading causes of death in the U.S. are heart disease, cancer, and accidents in that order. These immediate causes are significantly influenced by factors in the population such as poverty rates, educational attainment, rates of obesity and smoking, access to healthcare, prevalence of violent crime, and the support people receive from federal, state, and local governments. All these factors can vary widely among different states, which can be a key reason why life expectancies vary by state.

When you think about it, all these factors also have the potential to influence a person’s quality of life. The measured life expectancy rate rolls up all these factors into one objective measurement of well-being that’s based on population data.

In addition to the factors listed above, mortality rates increased and life expectancies decreased in the past few years due to the Covid-19 pandemic. A recent article titled “Live Free And Die” summarized recent research results that show that life expectancies in most countries around the world rebounded after the Covid-19 pandemic but that they continued to decline in the United States. Many of the reasons cited in the article for the continued decline in U.S. life expectancies are the same or similar to the factors listed above.

NPR‘Live free and die?’ The sad state of U.S. life expectancy

Why should retirees care about the life expectancies reported here if these measures don’t predict your own lifespan? Life expectancy calculations indicate the general well-being of the entire population in your area. While the living conditions in your area can influence your own lifespan and quality of life, retirees should focus on their remaining life expectancy given their age. They should also consider how the factors listed above that influence life expectancies in the population might apply to them.

You can obtain customized estimates of your remaining life expectancy at the Actuaries Longevity Illustrator. Part of your planning for retirement is understanding how long you an an individual might live, instead of relying on generalized information about larger populations you see in the media.

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IRS Dirty Dozen Campaign Warns Taxpayers To Avoid Offer In Compromise ‘Mills’



Owing taxes can be stressful. Unfortunately, the actions of some companies can make it worse. As part of its “Dirty Dozen” campaign, the IRS has renewed a warning about so-called Offer in Compromise “mills” that often mislead taxpayers into believing they can settle a tax debt for pennies on the dollar—while the companies collective excessive fees.

Dirty Dozen

The “Dirty Dozen” is an annual list of common scams taxpayers may encounter. Many of these schemes peak during tax filing season as people prepare their returns or hire someone to help with their taxes. The schemes put taxpayers and tax professionals at risk of losing money, personal information, data, and more.

(You can read about other schemes on the list this year—including aggressive ERC grabs here, phishing/smishing scams here and charitable ploys here.)

Tax Debt Resolution Schemes

“Too often, we see some unscrupulous promoters mislead taxpayers into thinking they can magically get rid of a tax debt,” said IRS Commissioner Danny Werfel.

“This is a legitimate IRS program, but there are specific requirements for people to qualify. People desperate for help can make a costly mistake if they clearly don’t qualify for the program. Before using an aggressive promoter, we encourage people to review readily available IRS resources to help resolve a tax debt on their own without facing hefty fees.”


Offers In Compromise

Legitimate is a key word. Offers in Compromise are an important program to help people who can’t pay to settle their federal tax debts. But, as the IRS notes, these “mills” can aggressively promote Offers in Compromise—OIC—in misleading ways to people who don’t meet the qualifications, frequently costing taxpayers thousands of dollars.

An OIC allows you to resolve your tax obligations for less than the total amount you owe. You generally submit an OIC because you don’t believe you owe the tax, you can’t pay the tax, or
 exceptional circumstances exist.

Because of the nature of the OIC—and the dollars involved—the process can be time-consuming. It can also be confusing for taxpayers who may not have a complete grasp on their finances.

First, you must complete a detailed application, Form 656, Offer in Compromise. You must also submit Form 433-A, Collection Information Statement for Wage Earners and Self-Employed Individuals, or Form 433-B, Collection Information Statement for Businesses, with supporting documentation (generally, bank and brokerage statements and proof of expenses).

You’ll also need to submit a non-refundable fee of $205 and payment made in good faith. The payment is typically 20% of the offer amount for a lump sum cash offer or the first month’s payment for those made over time. Generally, initial payments will not be returned but will be applied to your tax debt if your offer is not accepted. Payments and fees may be waived if the OIC is submitted based solely on the premise that you do not owe the tax or if your total monthly income falls at or below income levels based on the Department of Health and Human Services (DHSS) poverty guidelines.

The IRS will examine your application and decide whether to accept it based on many things, including the total amount due and the time remaining to collect under the statute of limitations. The IRS will also review your income—including future earnings and accounts receivables—and your reasonable expenses, as determined by their formula. The IRS will also consider the amount of equity you have in assets that you own—this would include real property, personal property (like automobiles), and bank accounts.


Before your offer can be considered, you must be compliant. That means you must have filed all your tax returns and paid off any liabilities not subject to the OIC. After you submit your offer, you must continue to timely file your tax returns, and pay all required tax, including estimated tax payments. If you don’t, the IRS will return your offer.

Additionally, you cannot currently be in an open bankruptcy proceeding, and you must resolve any open audit or outstanding innocent spouse claim issues before you submit an offer.


You can probably tell—it’s a lot to consider. You may want representation. A tax professional can help marshal you through the process and offer practical guidance, while communicating what fees could look like.

By contrast, according to the IRS, an OIC “mill” will usually make outlandish claims, frequently in radio and TV ads, about how they can settle a person’s tax debt for cheap. Also telling: the fees tend to be significant in exchange for very little work.

Those mills also knowingly advise indebted taxpayers to file an OIC application even though the promoters know the person will not qualify, costing taxpayers money and time. You can check your eligibility for free using the IRS’s Offer in Compromise Pre-Qualifier tool.

“Pennies On A Dollar”

What about those promises that taxpayers can routinely settle for pennies on a dollar? Not true. Generally, the IRS will not accept an offer if they believe you can pay your tax debt in full through an installment agreement or equity in assets, including your home. That’s why the IRS tends to reject a majority of OICs that are submitted. The acceptance rate is less than 1 in 3, according to the 2021 Data Book.

The IRS will generally approve an OIC when the amount offered represents the best opportunity for the IRS to collect the debt. It’s true that there’s a formula that the IRS uses to figure out how much they think they can collect from you. But there is some wiggle room to account for special circumstances, including a loss of income or a medical condition. It’s worth noting those are the exceptions, not the rule.


While submitting an OIC may keep the IRS from calling you, it doesn’t stop all collections activities—don’t believe companies that suggest that submitting an OIC will make your tax debt disappear. Penalties and interest will continue to accrue on your outstanding tax liability. Additionally, the IRS may keep your tax refund, including interest, through the date the IRS accepts your OIC.

You may also be liened. In most cases, the IRS will file a Notice of Federal Tax Lien to protect their interests, and the lien will generally stay in place until your tax obligation is satisfied.

Be Skeptical

An OIC is a serious effort to resolve tax debt and shouldn’t be taken lightly. Be skeptical—if it sounds too good to be true, it likely is. If you’re considering an OIC, hire a competent tax professional who understands the rules and is willing to level with you about your chances of being successful—including other options. Don’t fall into a trap that can make your situation worse.

MORE FROM FORBESIRS Urges Those Hoping To Help To Beware Of Scammers Using Fake Charities

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