Mackau It is a software company that develops and distributes programs for MacOS and iOS. Today, we have 20 million active users in all of our products.

In MacPaw, we believe that humans and technology can reach their greatest capabilities together.

MacPaw is proud to be Ukrainian. Ukraine’s support and development is an important part of the company’s culture. Macpaw brings together open people who support each other and aspire to change the world around us.

We are looking for Artificial Intelligence Data sets (Data generation and illustrations) To join our artificial intelligence team to oversee the process of explaining the entire data, and to support our initiatives in machine learning and automated learning initiatives. This role requires strong leadership skills along with a good understanding of data collection and explaining machine learning models.
In this role, it will be essential to ensure the efficiency, accuracy and success of our data marks.

If it is interesting to you, don’t look further – send us your CV!

In this role, it will:

• Organizing the process of explaining and supervising data, ensuring its accuracy and quality
• Build and lead the data explanation team, coordinate the team’s tasks and workflow, and enhance the development of the team
• Implementing quality monitoring, error analysis and improving standards
• Developing and maintaining the guidelines of illustrations and documents to ensure consistency and accuracy throughout the team
• Improving clarification processes and exploring automatic operating opportunities
• Cooperation closely with data engineers to develop effective solutions and tools for data processing, and to implement the tasks of processing automated data to simplify explanatory suspension operations
• Cooperating closely with ML engineers to align data explaining data with the requirements of the Automated Learning Form and understanding the nervous network training process
• Participate in coordination and cooperation between jobs with other colleagues
• Cost management related to data sources and explanation
• Explore external data solutions and alternative data, and management of cooperation with independents and external partners, including research and choosing and organizing cooperation with them to meet organizational needs
• Make sure to comply with data and security privacy systems during the data explanation process

The skills you will need to bring:

• An experiment installed on the leadership of the data explanation team
• The main understanding of the concepts of artificial intelligence/m (needs to explain data, types of tasks, and nerve network training)
• Good knowledge of the processes of placing signs on data and familiarity with tools and platforms and best relevant practices in the field of data explaining
• The basic understanding of data collection operations (web scrolling, data collection management)
• Strong leadership, communication and organizational skills with the ability to transfer technical aspects to both technician and non -technician interests
• A strong ability to manage uncertainty and bring clarity to unorganized situations – dealing with requests without pre -defined operations, which are the chaos structure, and to build a clear and implemented workflow for the team gradually
• Experience with quality guarantee for large data groups
• The intense interest in the details and the ability to balance multiple projects and priorities at one time
• Openness to repeated comments from many stakeholders and preparing to adapt operations quickly in real time based on these inputs
• Experience with data privacy regulations and ethical considerations in explaining data
• Strong analytical skills to monitor operations and implement improvements based on data -based visions
• The ability to develop and implement data quality measures and main performance indicators to measure the effectiveness of illustrative suspension operations
• Experience of managing budgets and external partnerships
• The upper medium level of English

What we offer: