Position: Training Data Annotator
Location: Remote
Job Description
Our Talent-Bridge Africa program is
running an Artificial Intelligence (AI) training program to equip youth with skills
in AI training data. We have partnered with the world’s largest Artificial
Intelligence training data company to recruit and train Data Annotators for
deployment on a host of paid projects on its online work platform. The data
annotators will be responsible for annotating high definition data for machine
learning purposes. Training data refers to the initial data that is used
to develop a machine learning model, from which the model creates and refines
its rules. Anyone can be trained as a Data Annotator. A background in IT is not
a prerequisite.
We are looking for motivated
individuals with a passion for remote work and entrepreneurship and a keen eye
for details. You will be trained for two weeks and begin working remotely on
paid projects on successful completion of the training.
Responsibilities
- Reviewing, correcting, and augmenting the
results of models generated across the artificial intelligence (AI)
platform
- Annotating images to help improve our AI’s
ability to understand the 3D world and identify objects and features
- Use in-house tools for annotating and labeling
maps, images, and other assets
Qualifications:
·
Ability to work remotely and
independently
·
Good writing and verbal communication
skills
·
Proficient in using a computer and
MS-office/ G-suite applications
·
Able to visualize things well in 2D/3D
and can incorporate information from multiple images and 2D/3D representations
into your understanding of a scene and apply that knowledge to create and
correct models
·
Detail-oriented — You notice when small
things are wrong and work to fix them, but you also have the judgement to know
when it’s good enough
·
Be self-motivated and demonstrate good
judgement that requires minimal supervision throughout the work day in order to
thrive in a fast paced, high stress environments
·
A reliable wifi internet connection
(this will be tested)
·
Access to a desktop or laptop computer
with Microsoft Office with Outlook (2010 or newer) and an installed, updated
and running antivirus program
·
Minimum computer requirements: Core i3
and 4GB Ram
·
Time commitment of 30-40 hours a week
(6-8 hours a day)
How To Apply
