At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.
The Data Curation team applies human insights to help machines learn from text-based 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 ASAPP’s machine learning products through their entire lifecycle.
What you’ll 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 speech-to-text related only
- Provide product insights gained from spending time with front-line 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 you’ll need
- Bachelor’s degree or greater in linguistics, cognitive science or human-computer 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 we’d 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 equal-opportunity 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
[email protected] to obtain assistance.
#LI-Hybrid #LI-PR1
