At ASAPP we are focused on building AI solutions that address complex customer service challenges. Our technology is designed to automate and optimize largescale customer interactions helping businesses improve efficiency reduce costs and maintain high customer satisfaction. We are looking for individuals passionate about AI and technology who want to contribute to solving realworld problems in customer service operations. You will join a team combining advanced AI with deep industry expertise to create tools that enhance contact center capacity and improve the customer experience. We aim to empower businesses with secure scalable solutions that meet their specific needs while fostering a culture of innovation and continuous improvement.
The Data Curation team applies human insights to help machines learn from textbased human interactions. We think deeply about what people might mean when they interact with AI systems and how best to label that data for machine learning. We work with machine learning speech modeling data science research and product teams interacting with ASAPPs machine learning products through their entire lifecycle.
What youll do
Develop expertise in a variety of data annotation areas including intent annotation generative agent response evaluation conversation summary generation/evaluation Named Entity Recognition and more. Our labeling work is primarily text and speechtotext related only
Provide product insights gained from spending time with frontline customer data
Partner with research data science and machine learning engineering teams to create future annotation tasks
Design and collaborate on any annotation work needed to bring a project to successful completion
Provide feedback and insight on ways to continually optimize annotation functions at ASAPP
Build logical data ontologies to suit modeling needs
Write and maintain project documentation and guidelines for internal teams and external audiences
What youll need
Bachelors degree or greater in linguistics cognitive science or humancomputer interaction; OR equivalent experience with data annotation
Fascination with how people think and express themselves and the ways in which we can distill clarify and label that information for use in AI and machine learning environments
Ability to adhere to strict guidelines while also pointing out areas where improvements can be made. Subsequently the ability to write guidelines in an efficient and easy to follow fashion.
Excellent written and verbal communication skills
What wed like to see
Experience with data annotation or human user research studies
Comfortable using CLI to install/manage software packages and repositories and run scripts to format data appropriately.
Working fluency in a language other than English
Benefits
Competitive compensation
Stock options
Prudent Life Insurance
Onsite lunch & dinner stipend
Connectivity (mobile phone & internet) stipend
Wellness perks
Mac equipment
Learning & development stipend
Parental leave including 6 weeks paternity leave
ASAPP is committed to creating a diverse environment and is proud to be an equalopportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin disability age or veteran status. If you have a disability and need assistance with our employment application process please email us at to obtain assistance. #LIHybrid #LIPR1
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