What are you going to do:
You will be responsible for labelling images to train our object and behaviour, detection models. Objects need to be identified and labelled in images according to precise criteria. We need someone who can label images correctly as well as understand the principles that create good labels and work with the team to develop better labelling criteria.
You will work with a number of in-house labelling packages and will help us to identify and test design improvements.
We are looking for someone who:
- Prides themselves for their patience and precision, and has the ability to perform repetitive tasks quickly and accurately
- Is detail oriented, and has the the ability to discern and discuss visual detail
- Can work independently and also as a part of a technical team
- Computer literacy: you need to be comfortable with computers, and have the ability to install and test software
-
An interest in the world of deep learning/autonomous vehicles would be a big plus!
- Is available full time from now until august 2021
Experience Required:
- Something that demonstrates the ability to understand logical processes (e.g A good A level Math, Psychology or Computer science, or some interesting programming projects)
- Something that demonstrates a good work ethic (eg. previous experience, personal projects or strong academic track record)
What we offer:
- Good salary
- Flexible working hours
- Beautiful Somerset house office / remote options
- Growth opportunities
- Immediate Start!
What we ask:
- good work ethic
- attention to detail
- motivated
- No experience required
- 0 to 6 months
- 6 to 12 months
- 1 to 2 years
- No minimum education required
Apply
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Extra information
ABOUT US
Humanising Autonomy is a London-based startup that is building the global standard of how autonomous systems interact with people. We were founded on the premise of enabling a safer, more human-centered implementation of autonomous technology, and called ourselves Humanising Autonomy simply because that is what we want to do!
- Status
- Closed
- Education Level
- University
- Location
- City of Westminster
- Working hours per week
- 40
- Type of Contract
- Full Time Jobs, Temporary Full Time, Placements
- Salary indication
-
£25,000 Per Year
- Responsible for
- Labeling videos
- Profession type
- ICT
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- Yes
- Cover Letter Required
- Yes
- Languages
- English
ICT Jobs | Full Time Jobs | Temporary Full Time | Placements | University
