Data Labeling (Part-time position)

About Nanit:

Welcome to Nanit, the high-growth baby tech company that is changing the way parents view their babies' wellness through the world's most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby's sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly-engaged parents who look to Nanit as a source of information and expertise on their parenting journey.

About the job:

We are looking for entry-level candidates for the AI Data annotator position. Your role at Nanit will be to be part of the data team within the AI group, collaborating closely with the algorithm team.

Part-time position - 70 hours per month, working one day per week in the office and the rest from home.

What you will do:

• Hands-on data annotation and tagging with high-quality, accurate, and timely data labeling using a variety of software tools.
• Analyze the labeled data to ensure precision and consistency among the team.
• Maintain comprehensive documentation to address labeling inefficiencies, promote continuous improvement, and ensure clarity in project guidelines.
• Taking part in monitoring the AI models in production using algorithmic and software tools.
• Working closely with the Algorithms and MLops teams.
  
  

• No previous experience in Data Labeling is required.
• Technical orientation and ability to learn and work with software tools.
• Ability to work independently and as part of a team.
• Can-do/positive approach.
• Cultivating both detail-oriented thinking and big-picture thinking.
• Fluent in English. Native - advantage
  
  

• We have an awesome product, that makes life a little more manageable for new parents
• We work hard. We are constantly striving to discover new and innovative ways to improve our product and ourselves
• We invest in people. We consider each employee a long-term investment and we see value in continuously nurturing and training them
• We believe in creating a fun, ego-less, family-friendly, flexible work environment