Internship – Machine Learning Labeler

 A little bit about us:

We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data – as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way.

We’re a highly-technical, passionate, and driven team. We are more than 150 people, our team currently represents 26 nationalities and we have offices in São Paulo, Mexico City, and Barcelona – while a large portion of us works remotely.

We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way.

Since starting our adventure in May 2019, we have raised $56m from the leading VC investors globally.

You can read more about our company here and about our team and culture here. Also, head to our blog for more news about what we’re building and how we work.

About the team:

• We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack. 

• Our products are built for developers, by developers. Technological excellence is at the heart of what we do.  

• We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback. 

• We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals.

• We are a flexible international team focused on creating cool stuff. Some of us prefer to work together in one of our offices and others prefer remote. For us, there’s no difference as long as you have an excellent internet connection and are able to overlap with the team from 4pm on, CEST timezone.

• Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator.

Your opportunity:

The Data Annotator / Data Labeler will support the Data Enrichment team in improving the accuracy and quality of our Machine Learning models to achieve excellent performance in projects by using in-house tools to accurately annotate and label data.

In this role you will:

• Support researchers in training Machine Learning models by accurately categorizing banking transactions

• Collaborate with researchers to determine and understand input data

• Report and document issues faced from data annotation to the Research team and discuss solutions to improve data

• Provide feedback for improvement to existing tools and workflows that can improve the accuracy and quality of our Machine Learning models

This position may be for you if:

• Comfortable working on a computer/ looking at a computer screen all day

• Experience working on computer systems including opening and running applications, tabbing between windows, and basic data entry

• Meticulous and detail oriented in your work

• Focus for long periods of time: able to sit down and pay attention to the labeling task

• Comfortable working by yourself

Amazing if:

• Bilingual: Portuguese and Spanish

• Knowledge of Brazilian, Colombian, and/or Mexican banking products

• Familiarity with labeling tools and software

• Interest in Artificial Intelligence and Machine Learning