Cool RFP Alert: Litterati is looking for a developer to build new litter data tools

Welcome to Cool Job Alert, a Technical.ly column where we feature interesting tech job openings from around the region. Got a posting you want to share? Email us at philly@technical.ly.

Global litter intelligence company Litterati is looking for a developer consultant, and while it’s a location-agnostic position, a Philly tie caught our eye.

Litterati manages an app that lets users upload pictures of litter they find in the wild and geotags them, while its LitterAI tool identifies the type of litter. Its head of cities, Nic Esposito — also the East Kensington-based founder of local publisher The Head & the Hand — said the remote company uses machine learning and data science “to work with NGOs, governments, corporations and individuals around the world to document the materials, objects and brands of litter to develop more informed and data-driven strategies to prevent litter and reduce waste.”

After leaving his position as Philadelphia’s Zero Waste and Litter director last year, Esposito said Litterati reached out and asked him to join their team. He’s now building out the company’s strategy in connecting cities to its platform so they can access its user data to inform policies.

Nic Esposito. (Photo via LinkedIn)

“I now get to take everything I learned about data-driven strategies during my time as Zero Waste and Litter director, and take this learning as well as experiences from an amazing team at Litterati to work with cities around the U.S. and world to become more proactive and prevent litter rather than just react to it,” he said.

“We are also making great strides into the circular economy sphere by identifying the overused, undervalued and hard-to-manage materials that end up becoming litter on our streets so better policies can be formed to ensure the circularity of these products.”

The person in the developer consultant role will tackle these two projects, per the RFP description:

• Develop a tool that will process this data in regards to city litter prevention programs and the budget spent with a goal to calculate the ROI of city budgets resulting in use of the data
• Develop a Global Litter Composite Index that will allow a city to process litter data in relation to weight, volume and prevalence to provide statistically accurate projections of litter throughout a City to provide a baseline for a city’s litter conditions as well as where that city falls within an index of other cities calculating litter severity using this unified metric