Sown To Grow (STG) is a K12 education technology platform that empowers schools to improve student social, emotional, and academic health through an easy and engaging reflection and feedback process. In a short weekly routine, students check-in emotionally and reflect on the strategies that are working best for them (or new ones to try). They start with a focus on emotional well-being and expand to academic goal-setting over time. Teachers, principals, and counselors understand real-time student emotions with AI-driven insights, and proactively support student needs.
STG has received seed funding from highly selective, innovative funds including the National Science Foundation, US Department of Education, NewSchools Venture Fund, Imagine K12 (now Y Combinator Edtech), Impact Assets, Jane VC, Digital Promise and others. The company currently serves schools in 40 states and has large-scale contracts with organizations such as Metro Nashville Public Schools (TN), Oakland Unified School District (CA), KIPP, and more.
Sometimes, students write reflections that may need an intervention outside of Sown To Grow. There are several lines of defense to catch these reflections, including teachers consistently reading student responses. As an additional layer, Sown To Grow has built an alert system that notifies teachers and specified school administrators about concerning student reflections that may need an intervention. This system uses artificial intelligence (AI), natural language processing (NLP) and machine learning (ML) to identify language related to self harm, death of a loved one, depression/anxiety, and other traumatic events. This system flags about 1% of reflections for a thoughtful human review before sending out alerts to the concerned teachers, admins and counselors. We are looking to hire highly skilled, thoughtful and inspired mental health professionals to join us in this critical high impact task of human review as we scale our product across nation-wide schools and districts.
The majority of STG’s school and district partners serve predominantly under-resourced communities. STG is solving high impact and highly relevant problems using students’ academic and social-emotional reflections, making the work technically challenging, ethically nuanced, and fundamentally complex.
We are a small, nimble team that is inspired to make a difference in the world while building a successful business. Before starting Sown To Grow, our founding team spent several years working in both the private sector and schools/districts. We care deeply about building a product that positively impacts student outcomes and makes Educators’ lives easier.
ABOUT THIS ROLE
This position is for masters students of social work or similar degree in the mental health field. Clinicians in Training – Student Reflection Reviewers will be with STG for the school year 2024-25 for flexible and virtual 2 to 4 hours a week. This position will start in September 2024 and end in May 2025 under the leadership of Director of Data Science & Machine Learning.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Selected candidate(s) will use STG’s internal Student Reflection Review tool to mark AI filtered reflections as concerning or not by adhering to STG’s guidelines for identifying concerning reflections.
- Selected candidate(s) will commit to reviewing about ~100 reflections per hour after familiarizing themselves with the Student Reflection Review tool.
- Selected candidate(s) will be responsible for selecting their next month’s desired time blocks (~3 hour blocks per week) by the 15th of previous month.
- The right candidate is a self-starter, someone who takes initiative, can work without supervision
- The right candidate is thoughtful and has an intuition to do right by the students
MINIMUM QUALIFICATIONS
- Bachelor’s degree
- Enrolled in Master in Social Work (MSW) or similar masters programs such as Licensed Marriage and Family Therapist (MFT)
- Eligibility to work in the US
- Experience in direct clinical practice with youth and/or families (internship experience qualifies)
- Excellent understanding of the English language
- Fluent oral and written communication skills in English
PREFERRED QUALIFICATIONS
- Familiarity with K-12 Education: You do not necessarily have to have had professional experience in a school, but familiarity with the K-12 education system and students’ developmental stages is ideal
COMPENSATION (Flexible and virtual hours)
$30 per hour
virtual Bachelor’s Degree Natural language processing (NLP) Managed file transfer (MFT) intervention Artificial intelligence (AI) Mock Service Worker Machine Learning principal Initiative