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And that’s not all we’ve eradicated. We think, because we keep both hirer and candidate involved, it’s only fair that they should earn something for it. So they do. Instead of paying the industry average 20% fee for hiring an candidate, our hirer pays just 6%. And guess where 5 of those 6% go? To the candidate. That’s right. 5% of their annual salary for landing the job. If that’s not reason enough to apply for a job, we don’t know what is…
Multi-Service Heavy Equipment dealership is in need of an experienced Territory Sales Manager to effectively cover 14 county territory and direct the efforts of its Sales force. Qualified Territory Sales Manager should possess an energetic customer first based approach. Looking for a positive leader that has rental and sales experience and Multi-Location Heavy construction equipment dealership responsibility. The Sales Manager must have extensive Heavy Equipment Industry experience and product try product knowledge (Volvo, LeeBoy/Rosco, Sandvik Mining, Heavy Construction and Material handling…
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Manual work seems to shorten one’s lifespan.[2] High rank[3] (a higher position at the pecking order) has a positive effect. Professions that cause anxiety have a direct negative impact on health and lifespan.[4] Some data is more complex to interpret due to the various reasons of long life expectancy; thus skilled professionals, employees with secure jobs and low anxiety occupants may live a long life for variant reasons.[5] The more positive characteristics one’s job is, the more likely he or she will have a longer lifespan.[6][7] Gender, country,[8] and actual (what statistics reveal, not what people believe) danger are also notable parameters.[9][10]
Now, it’s possible that some of the productivity slowdown is the result of humans shifting out of factories into service jobs (which have historically been less productive than factory jobs). But even productivity growth in manufacturing, where automation and robotics have been well-established for decades, has been especially paltry of late. “I’m sure there are factories here and there where automation is making a difference,” says Dean Baker, an economist at the Center for Economic and Policy Research. “But you can’t see it in the aggregate numbers.”
The expression day job is often used for a job one works in order to make ends meet while performing low-paying (or non-paying) work in their preferred vocation. Archetypal examples of this are the woman who works as a waitress (her day job) while she tries to become an actress, and the professional athlete who works as a laborer in the off season because he is currently only able to make the roster of a semi-professional team.
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Job Description Responsibilities: DMI is seeking a full-time Senior Big Data Developer to support our customer in Mason, OH. Qualifications: Most important skills & Responsibilities – Senior Spark Programmer who is well versed with Hadoop ecosystem…
To be sure, Autor says, computer technologies are changing the types of jobs available, and those changes “are not always for the good.” At least since the 1980s, he says, computers have increasingly taken over such tasks as bookkeeping, clerical work, and repetitive production jobs in manufacturing—all of which typically provided middle-class pay. At the same time, higher-paying jobs requiring creativity and problem-solving skills, often aided by computers, have proliferated. So have low-skill jobs: demand has increased for restaurant workers, janitors, home health aides, and others doing service work that is nearly impossible to automate. The result, says Autor, has been a “polarization” of the workforce and a “hollowing out” of the middle class—something that has been happening in numerous industrialized countries for the last several decades. But “that is very different from saying technology is affecting the total number of jobs,” he adds. “Jobs can change a lot without there being huge changes in employment rates.”
It’s hard not to instantly like Baxter, in part because it seems so eager to please. The “eyebrows” on its display rise quizzically when it’s puzzled; its arms submissively and gently retreat when bumped. Asked about the claim that such advanced industrial robots could eliminate jobs, Brooks answers simply that he doesn’t see it that way. Robots, he says, can be to factory workers as electric drills are to construction workers: “It makes them more productive and efficient, but it doesn’t take jobs.”
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Overall, the interview process was very straight forward and well laid out by the recruiter. The first round was the standard get-to-know-you recruiter call. The recruiter was great and we had a wonderful conversation about more than just the job description. He dove into a couple areas I had questions about and was more than willing to take extra time to answer my questions.
Of course, if automation is happening much faster today than it did in the past, then historical statistics about simple machines like the ATM would be of limited use in predicting the future. Ray Kurzweil’s book The Singularity Is Near (which, by the way, came out 12 years ago) describes the moment when a technological society hits the “knee” of an exponential growth curve, setting off an explosion of mutually reinforcing new advances. Conventional wisdom in the tech industry says that’s where we are now—that, as futurist Peter Nowak puts it, “the pace of innovation is accelerating exponentially.” Here again, though, the economic evidence tells a different story. In fact, as a recent paper by Lawrence Mishel and Josh Bivens of the Economic Policy Institute puts it, “automation, broadly defined, has actually been slower over the last 10 years or so.” And lately, the pace of microchip advancement has started to lag behind the schedule dictated by Moore’s law.
The machines created at Kiva and Rethink have been cleverly designed and built to work with people, taking over the tasks that the humans often don’t want to do or aren’t especially good at. They are specifically designed to enhance these workers’ productivity. And it’s hard to see how even these increasingly sophisticated robots will replace humans in most manufacturing and industrial jobs anytime soon. But clerical and some professional jobs could be more vulnerable. That’s because the marriage of artificial intelligence and big data is beginning to give machines a more humanlike ability to reason and to solve many new types of problems.
Big picture: the gender pay gap is closing, albeit slowly. The typical woman earns 80% of what the typical man does, among full-time, full-year workers @marthagimbel https://www.hiringlab.org/2018/04/10/equal-pay-day-jobs/ …pic.twitter.com/P9Dg2p2m0Q
Brynjolfsson and McAfee are not Luddites. Indeed, they are sometimes accused of being too optimistic about the extent and speed of recent digital advances. Brynjolfsson says they began writing Race Against the Machine, the 2011 book in which they laid out much of their argument, because they wanted to explain the economic benefits of these new technologies (Brynjolfsson spent much of the 1990s sniffing out evidence that information technology was boosting rates of productivity). But it became clear to them that the same technologies making many jobs safer, easier, and more productive were also reducing the demand for many types of human workers.
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Snag is an online employment website specializing in the hourly marketplace.[1] Founded in 2000 with offices in Washington, D.C., Richmond, Virginia, Charleston, South Carolina, and Oakland, California,[2] Snag has been named to Fortune Magazine’s “Great Place to Work” Best Small & Medium Workplaces list for eight consecutive years. Snag has also been named to Washingtonian’s “Great Places to Work” and Deloitte’s “Fast 500”, a ranking of the fastest growing technology, media, telecommunications, life sciences and clean technology companies in North America.[3]
In the tony northern suburbs of New York City, IBM Research is pushing super-smart computing into the realms of such professions as medicine, finance, and customer service. IBM’s efforts have resulted in Watson, a computer system best known for beating human champions on the game show Jeopardy! in 2011. That version of Watson now sits in a corner of a large data center at the research facility in Yorktown Heights, marked with a glowing plaque commemorating its glory days. Meanwhile, researchers there are already testing new generations of Watson in medicine, where the technology could help physicians diagnose diseases like cancer, evaluate patients, and prescribe treatments.
Jump up ^ John Reid Blackwell (October 18, 2011). “Snagajob snags top place to work award – Richmond Times Dispatch: Metro-Richmond’s Latest Business & Economic News”. .timesdispatch.com. Retrieved June 4, 2013.
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Over the past few years, it has become conventional wisdom that dramatic advances in robotics and artificial intelligence have put us on the path to a jobless future. We are living in the midst of a “second machine age,” to quote the title of the influential book by MIT researchers Erik Brynjolfsson and Andrew McAfee, in which routine work of all kinds—in manufacturing, sales, bookkeeping, food prep—is being automated at a steady clip, and even complex analytical jobs will be superseded before long. A widely cited 2013 study by researchers at the University of Oxford, for instance, found that nearly half of all jobs in the US were at risk of being fully automated over the next 20 years. The endgame, we’re told, is inevitable: The robots are on the march, and human labor is in retreat.
One of the friendlier, more flexible robots meant to work with humans is Rethink’s Baxter. The creation of Rodney Brooks, the company’s founder, Baxter needs minimal training to perform simple tasks like picking up objects and moving them to a box. It’s meant for use in relatively small manufacturing facilities where conventional industrial robots would cost too much and pose too much danger to workers. The idea, says Brooks, is to have the robots take care of dull, repetitive jobs that no one wants to do.
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