Data Labeler

Digital ads drive over 100 billion phone calls to U.S. businesses every year… Surprisingly, the marketers who paid for those ads typically have zero insight into these customer interactions and conversions. 
As the market leader in call analytics and customer experience optimization, DialogTech provides data-driven marketers with an end-to-end call attribution and analytics platform. This enterprise-class solution delivers transparency and control over every conversation, so companies can optimize lead generation, map the full path to conversion, and increase sales conversions.

DialogTech is a venture funded, growth stage, digital marketing technology company with over 4,000 customers and 200 employees. Since the beginning of 2014, DialogTech has experienced over 300% growth in its enterprise customer base and doubled its average customer size.

As a Data Scientist Labeler, you will assist our team in crafting labeled data for machine learning projects. You will be successful in this position if you possess the ability to self-pace and prioritize work. 

Responsibilities: 

  • Take weekly batches of data, and label it according to the project requirements with a sufficient level of accuracy
  • You will be responsible for the quality assurance of all data sets
  • Provide support to the Data Science Team to design and execute experiments
  • Review and report any trouble related to the figures 
  • Use audio-processing software to listen to calls, and produce summaries of the calls, assign labels to the whole call, as well as precisely mark individual words and phrases said on the calls

The must haves:

  • Self-motivated and assume ownership of a project
  • Analytical mindset, tech savvy and able to work in a dynamic environment 
  • Ability to learn audio-processing software and Microsoft Excel
  • Empathetic to learning new software and languages within Data Science 
  • Reliable, committed and motivated 

The nice to haves:

  • A general understanding of Sales principles 
  • Experience and understanding of data review and analysis 
  • Call center or customer service experience is a plus 

What we offer: 

  • The opportunity to work on a team that develops work class solutions with groundbreaking technology 
  • A great culture and environment. Free snacks and beverages, ping pong, foosball and a putting green to name a few. 

In this role, you'll be participating in driving innovation within the company, working on rapid prototypes and research. You will find success if you will enjoy learning, pragmatic thinking, and critical reasoning.

Join us at one of the 101 Best and Brightest Places to Work in Chicago and nationally, 9 times running, Chicago Tribune's Top 100 Workplaces company and a 2017 Crain's Fast 50 company!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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