'A Career in Data Worth Considering: Crowd Solutions Architect (CSA)' aiapplications techcareers
In today’s day and age, the IT sector goes through major changes every few years, and consequently so does the job landscape. Some positions that were essentially unheard of a decade ago have now become the hottest new kids on the block. And with
at an ever-accelerated pace, one of the best examples of one such position is a Crowd Solutions Architect .We can’t talk about what CSAs do without talking about data labeling and crowdsourcing.these days, particularly where there’s Machine Learning – from search engine optimization and virtual assistants to self-driving vehicles and medical AI. The list is growing longer by the day.
As is the case with every ML-supported product or service, there are three important aspects that make it possible: the algorithms, the hardware, and the data. We’re less concerned with the first two because of their general acceptance and availability on the market. However, data labeling is a different story altogether – here, a whole host of different methodologies are up for grabs.One of the most up-and-coming labeling methods today is crowdsourcing, mainly due its time- and cost-efficiency.
Every CSA has to be a proficient coder, a capable architect, and a savvy manager of people, possessing a balanced mix of hard and soft skills. To deliver a well-labeled data set in a timely manner, CSAs need to:Have the vision and the know-how to create a suitable execution strategy.Consistently monitor their progress and offer guidance.
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