Data Labeler - Data Science (Part-Time)

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DialogTech provides the leading AI-driven conversation intelligence platform for marketers at businesses that value inbound phone calls. When consumers call, DialogTech turns those conversations into actionable insights businesses use to improve marketing ROI, increase sales conversions, and deliver more personalized customer experiences, both online and over the phone. Recognized as the leader and pioneer in call analytics since 2007, DialogTech is the trusted conversation intelligence platform for many of the world's most successful brands and agencies. 
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, 10 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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Location

Right across the street from Union Station. A short walk to all CTA train and bus lines. And down the street from Ogilvie Train Station.

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