Enlabeler offers multiple access to data solutions that is essential for data centric machine learning models. Our platform is an end-to-end solution for companies who want to automate business processes with high-quality annotated data. Enlabeler aims to produce unbiased and inclusive representation of datasets with the use of human and auto-annotation via our tool or on the client’s platform. Our services range from creating, classifying, cleaning-up and labeling of raw data sets.
We bring humanity to data by creating remote jobs of the future in Africa whilst providing the
highest-quality labeled data.
Over 40% of all 25-34 year old and >66% of 15-24 year old South-Africans are currently unemployed (Q4, 2021). In line with the 8th Sustainable Development Goal (Decent Work for all and Economic Growth), Enlabeler fosters job creation in the emerging data-driven industry. These jobs not only create livelihoods for the leaders of tomorrow, they also build an ecosystem of talent in Africa and grow the entire economy’s competitiveness in the Artificial Intelligence and Data Industry.
Audio hours transcribed (SA English alone)
language experts available in over 10 different languages
Labelers in our database today
Number of annotations made
The use of artificial intelligence (AI) and machine learning (ML) is growing in a variety of sectors, sparking the need for more data annotation models assisted by specialists globally. While the need for trained annotators is increasing, it’s often
Read moreAs more organizations are relying on artificial intelligence and machine learning technology, trained data annotation specialists are in high demand. Enlabeler is bridging the gap between an eager data annotation and labeling workforce and the risin
Read moreWe are very satisfied with the constant communication. You nailed it.
We are happy to work with Enlabeler, as their labeling workforce helps us to kickstart new projects. This extra service provides value for our users who want to offset their initial AI model accuracy by labeling and historical datasets.
Aerobotics has used Enlabeler across large data annotation projects spanning the globe, working with us to build a precisely labelled dataset that underpins our agronomic products. They have been an excellent partner to Aerobotics, providing high quality services and a committed team.
“At Serket we are building a system to recognize and analyze the behaviour of pigs. We always receive good quality data from Enlabeler. They are known for high adaptability and excellent communication.”
“Working with data labeling means that you will have a great deal of confidence that your task will be executed to your needs on time and according to the quality required to train your model . This is where Enlabeler shines.”
“Enlabeler has truly surpassed our expectations in terms of the quality of the work produced. The team is responsive and works hard to ensure that value is added from the start. ”
“We’ve used Enlabeler’s translation services a couple of times and really appreciate their ability to adapt to our needs and their dedication to providing high quality results using local language experts.”
“At Platform45, we’ve built sophisticated algorithms to process our data to meet the highly technical needs of our AI. Enlabeler has proved pivotal in our development cycle by being receptive to our needs.”
“The flexible and pro-active nature of Enlabeler perfectly fits the fast-paced sector in which we operate”
“Collaborating with Enlabeler frees Kalido’s ML team to experiment with models and training scenarios, maximising the value our machine learning engine adds to the end users. Data and annotation quality is not something we have to worry about anymore.”
“Working with Enlabeler was a pleasure. Due to their responsiveness, we were able to quickly communicate our complex labeling needs and obtain the labeled dataset we needed.”
“Enlabeler provides high quality results, making our development easier and faster. They always meet our expectations and do everything on time.”
“A big thank you from me for staying the course and being easy to work with. This was a refreshing change from our previous experience working another global data labeling company.”
