Harmonya-Data Labeling and QA

  • Harmonya
  • Tel Aviv, Israel
  • Full-time
About The Position

About Harmonya

Harmonya helps retailers and manufacturers overcome the limitations caused by legacy data structures and unlock the true value of their data. 

Harmonya is an AI-powered product data classification and enrichment platform for retailers and manufacturers. Leveraging proprietary ML and AI models, Harmonya synthesizes data from trillions of alternative data points to generate a holistic and dynamic view of products sold across the country.

About Team8 

Team8 is a company-building venture group that builds and invests in companies specializing in Data, AI, Fintech, and Cybersecurity. The Team8 model supports entrepreneurs with an in-house team of researchers, growth experts, and talent acquisition specialists, and a “village” community of enterprise c-level executives and thought leaders. Whether building a new company from scratch or investing in companies already on their journey, Team8 brings a rich ecosystem to work hand in hand with entrepreneurs in accelerating. 



As a Data Labeling and QA professional, you will be categorizing, tagging, labeling, and evaluating data in our data science solutions. Your work will be a key part of our machine-learning model development lifecycle, enabling our data science team to evaluate and improve the performance of our enterprise models covering a wide range of topics such as eCommerce, location analytics, NLP and time-series data and much more.

Raising data quality and performance levels side by side Evaluating and identifying where system enhancements are required.

This is an amazing opportunity for someone with a deep passion to learn the world of data-science from a practitioner standpoint, and as a part of the role, you will have the opportunity to learn new tools and scripting languages .

Some of the tasks you would do in this role are:

  • Labeling and tagging of datasets for use in machine learning model training
  • Validate results of models to ensure predictions are sensible and explainable
  • Collect and normalize large datasets for use by our team
  • Build scripts and applications to facilitate collection, cleanup and preparation of datasets
  • Performing statistical tests on large datasets to determine data quality and integrity.
  • Running data queries to identify coding issues and data exceptions, as well as cleaning data.
  • Good command of Excel and/or Google Sheets 
  • Understanding of basic machine learning and data science concepts
  • Experience with data automation tools (e.g. Zapier, Glide, Retool) a big advantage
  • Fluent in written and spoken English at a professional level
  • Attention to detail and ability to work independently, accurately and at pace 
  • Great communication skills

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