We’re looking for an experienced waste sampling lead with a high attention to detail. This role will give you the opportunity to help digitise the waste sampling process. As a Waste Sampling Researcher you’ll be taking your first hand waste facility experience and applying it to new tech. This role is ideal for an individual looking to transition into a more technical role. You’ll be confident working on and taking ownership of multiple projects to ensure our data quality is high. The goal is to create a recognition system that can both replace manual sampling and improve on it. This role will report directly into the Head of Data, working with a small team of data analysts.

Any individual that understands the waste sampling process and is excited about innovation in the waste industry should apply. We are open to any level of technical ability as you’ll be given the opportunity to learn technical skills in this role.

A typical day in this role looks like:

• Supporting annotation reviews to ensure that data quality is high and annotations match the sampling process

• Improve annotation instructions

• Investigate taxonomy improvements and help to grow the taxonomy

• Consultancy: Provide advice to team members who have less waste industry experience so that they can make informed decisions.

• Experience in the waste management industry (essential)

• Passionate about improving waste management

• Strong analytical skills and high attention to detail

• A self-starter, who is able to take on projects with minimum supervision

• Highly organised with ability to handle multiple projects and meet deadlines

• Excellent verbal and written communication skills

• Ability to organise analysis in Excel or Google Sheets

It would be a plus if you had:

• Experience working with large data sets

• Basic knowledge of Machine Learning principles

• Solid Python skills

• Experience with CLI

• Experience with managing/curating data sets

• Experience with reviewing the quality of annotation work

• Experience with Amazon S3

• Experience with image annotation tools and processes for Computer Vision applications

About Greyparrot:

The world is in a waste crisis. Currently we produce 2.1 billion tons of solid waste per year. Data collection of the waste we produce is non-existent, meaning no systematic transparency and no accountability. It means that recycling targets are not upheld, dumping of waste into our oceans remains nobody's responsibility, recyclables get sent to landfill or incineration, and producers get away with sub-standard packaging. Thus, recycling rates stubbornly remain at 10% and, unless we change, by 2040 the plastic stock in the ocean will have quadrupled - a problem that already costs society $1.5 trillion each year.

Our mission is to increase transparency and automation in waste management to accelerate the circular economy. Currently, our camera system and AI software are deployed in recycling plants and waste facilities around the world to measure material flows and provide waste analytics. We have compiled a team of experts to deploy our technology and we’re looking to expand our team. 

On offer:

• Competitive london-based salary (salary band available upon application)

• Employee stock option scheme

• Customised hybrid working between office and home (open to remote working)

• 25 days holiday each year, plus bank holidays

• Paid sick leave for physical and mental health needs

• Unlimited fresh fruit, tea, coffee and healthy snacks

• Enhanced maternity, paternity, adoption or shared parental leave

• Cycle to work scheme

• Training budget with Sunlight

• Spill 1-1 mental health support

A few things to note:

• Applications are reviewed on a rolling basis.

• Only applicants who have the right to work in the UK will be considered at this time.

• We are 100% committed to building a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you.

• If you don’t quite match everything above but you feel you can succeed in this role, please still apply.