Position: Data Annotation Specialist

Enlabeler Vacancy: Data Annotation Specialist

The fast growing Enlabeler team is looking for a strong and highly motivated individual to join our team as a Data Annotation Specialist. Our culture and purpose is our number one priority, and therefore we need a team player with a shared passion for innovation and job creation in Africa. Enlabeler serves a wide range of international clients in the Artificial Intelligence and Machine Learning industries. What sets us apart from other players, is that our labelers can work 100% remotely. This way, the labelers become the catalysts of change for the digital revolution within their own communities.

About the role

For the Data Annotation Specialist position, we’re looking for someone who loves data and annotation to help train various AI models and structuring data. Even when you’re in a rhythm, you have a keen eye for detail. You have a strong passion for making machine learning models better, smarter, faster, and stronger. You are eager to learn and grow with a small, diverse, and passionate team.

What we are looking for

A self motivated individual with the ability to effectively manage and prioritize multiple projects concurrently.
A sharp eye for detail.
Interest and/or experience in computer vision.
Comfortable doing recurring work with data and working on large datasets
Ability to analyze tasks closely to ensure that they are accurately and thoroughly completed.
You are reliable and committed to meeting deadlines.
Positive attitude, exceptional interpersonal and communication skills.
Excitement about progressing tools that will support the development of AI and machine learning projects.
Interest in working in a start-up culture with an entrepreneurial spirit to build and create value.

Responsibilities

  • Hands on data annotation to provide high quality labels to train machine learning models, specifically in computer vision.
  • Perform quality checks on labels done by other annotators.
  • Collaboration with other team members to deliver high quality data consistently.
  • Create and improve annotation guidelines and add supplementary examples.
  • Report and document issues faced from data annotation to Project Manager/s and discuss solutions to improve the quality of data.
  • Provide feedback to improve existing tools that can increase the accuracy and quality of deep learning models.
  • Assist in data set creation (using a variety of methods).
  • You’ll be working on a range of projects, either on a third party tool, or on Enlabeler’s annotation tool.

Job requirements

  • Strong computer skills.
  • 2+ years of data annotation experience.
  • Comfortable to handle large data sets on a regular basis.
  • Experience in working full time, knowing how to deal with time management, expectations, communication and delivering on your duties.
  • Ability to work on repetitive tasks efficiently and effectively with minimal errors.
  • Excellent communication, analytical and with good reasoning skills.
  • Possess high motivation with the desire to learn.
  • Proactive attitude.
  • Strong interest in Computer Sciences or Artificial Intelligence, especially in deep learning.
  • Based in Cape Town or Johannesburg (or you are willing to relocate).
  • A partially remote working environment (work from home) with access over labeling hubs across Cape Town and Johannesburg (where you will be expected to work from a certain number of days per week).
Need help?

Not sure exactly what we’re looking for or just want clarification? We’d be happy to chat with you and clear things up. Anytime!

Email us

[email protected]

Chat with us

Don't see a job for you?

Do you feel like you belong working with Enlabeler, but we just don’t have your dream job posted? No problem - just reach out by sending your CV and a motivation letter to the email below.

[email protected]

Enlabeler Perks:

  • Collaboration and events with other companies.
  • Exposure to huge business opportunities 
  • Start-up culture where your views are heard!
  • Remote and flexible work times.
  • Enlabeler swag.

If you would like to join the Enlabeler community, pls send an email with your CV to [email protected] join the Enlabeler group on Facebook and follow us on LinkedIn.