Annotator (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 efficiency, and 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

Our mission at Procys is to enhance the efficiency of accounting processes through cutting-edge algorithms. As an Annotator, you play a crucial role in this mission by transforming raw invoice data into structured text files, enabling our algorithms to automatically extract booking information. Working within our Procys web interface, you'll label and transcribe invoices to create high-quality training data. Your contributions directly impact the accuracy of our algorithms, ultimately saving valuable time for our customers. Join us in revolutionizing accounting automation through meticulous data annotation.

Key Responsibilities

• Perform precise and consistent annotation of datasets, ensuring high-quality labeled data.

• Label incoming documents with text data, including invoices, purchase orders, and receipts.

• Tag invoice lines and other structured data in financial document

• Conduct quality checks to ensure accuracy and adherence to annotation guidelines.

• Collaborate with the ML team to provide insights on annotation challenges and process improvements.

• Identify and flag anomalies or inconsistencies in datasets to enhance mod training.

• Assist in refining annotation guidelines based on project needs and evolve AI/ML model requirements.

• Stay updated on best practices in data annotation and AI/ML model training.

• Support process documentation for annotation workflow

• Participate in training sessions for new annotation tools or techniques.

What competencies are we looking for

• Comfortable with routine tasks while maintaining accuracy and efficiency.

• Strong organizational and time-management skills.

• High attention to detail and ability to work with complex datasets.

• Understanding of data quality standards for AI/ML models.

• Basic knowledge of European VAT regulations and B2B invoicing.

• Fundamental math skills for invoice line calculations.

• Proficiency in English (additional language skills are a plus)

Preferred Qualifications

• Experience in accounting or finance-related data processing

• Educational background in data science, data entry, or data analysis.

• Proficiency in additional languages (Dutch, Spanish, German, French)

We offer

• 100% remote work (you can work from any location, no need to go to the office);

• Paid time off and sick leave;

• International team and regular online and offline events to stay connected;

• Internal workshops, and knowledge-sharing sessions;

• Quarterly review and annual salary review;

• Flexible working hours (we don`t have time trackers, we are a result-oriented company);

• We are an ISO 27001-certified remote workplace.