Annotator (Spanish) with Finance background: Procys - Fully Remote

About the company

Procys is a spin-off startup coming out of Openprovider, specializing in machine learning & AI solutions dedicated to automation. We’re on a mission to make work more enjoyable and efficient, through smart, automated business processes, helping teams to save time and money is what we do! Our goal is to automate 50 billion hours of routine and repetitive work. One of our first solutions helps finance teams worldwide with their biggest data stream: invoices.

Be part of the efficiency, be part of Procys!

All Procys and Openprovider employees work on a fully remote basis and without any geographical limitations. You don’t have to go to the office each day and deal with traffic or painful commutes. All you need is yourself, a laptop, and a cup of coffee. We support a healthy work/life balance and constantly strive to improve this aspect more and more every day. We support a flexible schedule and are 100% performance and result-oriented.

About the role

At Procys, we create algorithms that benefit the world of accounting by automatically extracting booking data from invoices. For such an algorithm, the learning dataset consists of two parts - an invoice file itself and a structured text file with booking data. Data annotation is a process of generating such text files from original invoice files. You will work in our web interface to label and transcribe invoices in the dataset. At the same time, our learning engine will regularly pick up your training data to improve the accuracy of the underlying algorithm. Thus, this role is vital to improving the algorithm’s accuracy and saving time for our customers.

Key responsibilities

• Labelling incoming documents with text data;

• Tagging invoice lines and other data in the invoices;

• Sharing feedback with ML team on web interface and the annotation process in general;

What competencies we are looking for

• Accounting experience is preferred.

• Not scared of routine work.

• Good organization skills.

• High attention to detail.

• High sense of input quality requirements needed for AI/ML models.

• Basic math for invoice line calculations.

• Fluent in English OR Spanish