AAAI Press
Spring AI Studio Coach (Agentic AI), Break Through Tech (NYC)
AAAI Press, Northeast Ithaca, New York, United States
Spring AI Studio Coach (Agentic AI), Break Through Tech (NYC)
About Cornell Tech
At Cornell Tech, we develop the leaders and technologies of tomorrow through foundational and applied research, postgraduate education, and new ventures. Through rigorous, practical research and interdisciplinary innovation, we're advancing lasting economic and social prosperity for New York City and the world.
About Break Through Tech AI Studio Break Through Tech is changing the path to power in tech by propelling undergraduate talent that is all too often underestimated and overlooked into fields that are defining the future. Founded in 2016 by Dr. Judith Spitz, former CIO of Verizon, Break Through Tech empowers, trains, and connects undergraduate students from different lived experiences to professional opportunities in tech across sectors. Our innovative programs offer undergraduate students the technical skills training, professional readiness support, and real‑world project experiences to break into influential tech roles—enabling them to write the rules that will shape the future of all of us.
About the Position Break Through Tech is seeking AI Studio Coaches to support and guide undergraduate teams through the Agentic AI Specialization during the AI Studio Spring semester. This virtual position plays a critical role in ensuring successful project completion while fostering fellow engagement and technical growth. Working with approximately nine Fellows across three project teams, the Coach will provide both technical guidance and project management support to drive successful outcomes.
Essential Functions Include Technical Guidance & Project Support (50%)
Provide technical mentorship to teams building AI agents with LangGraph, RAG systems, and tool integrations
Review code and conduct debugging sessions to troubleshoot complex technical issues
Guide teams through agent architecture decisions, tool integration challenges, and deployment strategies
Support teams in evaluating agent performance using appropriate metrics
Attend all four workshops (1.5 hours each, one Tuesday each month) to circulate during breakout rooms and provide just‑in‑time technical support
Attend all four maker days (3‑4 hours each, on Saturday each month) to lead breakout sessions, ensure progress, and troubleshoot technical challenges
Find and review additional resources to support team projects as needed
Structured Check‑Ins & Progress Monitoring (30%)
Conduct biweekly one‑hour check‑ins with each of the three assigned teams (six total check‑ins per month)
Meet with teams during prework periods to assess progress on agent development
Meet with teams between workshops and maker days to provide feedback on deliverables
Monitor team progress and intervene to address technical blockers or team dynamics issues
Partner with program staff to manage unresolved issues affecting project success
Participate in biweekly community of practice meetings with other coaches and program staff
Assessment & Feedback (20%)
Grade team deliverables using provided rubrics and track submission completion
Provide constructive technical feedback on project milestones and presentations
Review and assess prework completion, following up with fellows who haven't completed assignments
Observe final presentations and provide meaningful feedback
Maintain attendance records for workshops, maker days, and team check‑ins
Required Qualifications
Experience in and/or demonstrated commitment to support the success and well‑being of undergraduate students from all lived experiences
Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members
Strong background in AI/ML with hands‑on experience in agent development
Proficient understanding of agentic AI frameworks (e.g., LangGraph or AutoGen) sufficient to address technical questions and guide fellows to appropriate resources
Experience with RAG systems, API integrations, and cloud deployment
Ability to troubleshoot code and debug complex systems
Experience in teaching, coaching, or mentoring, or demonstrated ability to learn these skills
Excellent communication and facilitation skills
Ability to thrive in a virtual work environment
Preferred Qualifications
Prior Break Through Tech and/or ML Foundations experience
Advanced degree in Computer Science, Data Science, or related field
Experience with LLM applications and prompt engineering
Experience with containerization and cloud platforms (AWS, GCP, Azure)
Experience with virtual instruction or team facilitation
Important Notes This is a part‑time, remote, temporary position beginning on January 20, 2026 and ending on April 25, 2026.
The position is expected to require an average of six hours per week over 14 weeks, with weekly hours ranging from 4–12 hours per week depending on program activities.
This role is not eligible for benefits.
These roles are open to any eligible candidates across the US.
Visa sponsorship is not available for this position.
Pay rate: $35 per hour.
AI Studio Coaches will be required to participate in about ten hours of pre‑program training in early January 2026.
AI Studio Coaches will be required to work the following key dates (times TBC) to support program events:
Workshop 1: Tuesday, January 20, 2026 (7:00–8:30 PM ET)
Maker Day 1: Saturday, January 31, 2026 (12:00–4:00 PM ET)
Workshop 2: Tuesday, February 17, 2026 (7:00–8:30 PM ET)
Maker Day 2: Saturday, February 28, 2026 (12:00–4:00 PM ET)
Workshop 3: Tuesday, March 17, 2026 (7:00–8:30 PM ET)
Maker Day 3: Saturday, March 28, 2026 (12:00–4:00 PM ET)
Workshop 4: Tuesday, April 14, 2026 (7:00–8:30 PM ET)
Maker Day 4: Saturday, April 25, 2026 (12:00–3:00 PM ET)
In addition to these dates, AI Studio Coaches will be expected to lead two (2) 60‑minute Check‑In Meetings with their teams per month.
Coaches will also meet at least biweekly with Program staff for check‑ins and trainings.
Coaches will be assigned to conduct outreach to at‑risk fellows which may include 1:1’s and post‑meeting follow‑ups.
Culture of Inclusion and Community Standards As an individual contributor you will model and support a culture of inclusion, belonging, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture.
EEO Statement Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world‑class education and career opportunities, to further the founding principle of “… any person … any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy‑related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
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About Break Through Tech AI Studio Break Through Tech is changing the path to power in tech by propelling undergraduate talent that is all too often underestimated and overlooked into fields that are defining the future. Founded in 2016 by Dr. Judith Spitz, former CIO of Verizon, Break Through Tech empowers, trains, and connects undergraduate students from different lived experiences to professional opportunities in tech across sectors. Our innovative programs offer undergraduate students the technical skills training, professional readiness support, and real‑world project experiences to break into influential tech roles—enabling them to write the rules that will shape the future of all of us.
About the Position Break Through Tech is seeking AI Studio Coaches to support and guide undergraduate teams through the Agentic AI Specialization during the AI Studio Spring semester. This virtual position plays a critical role in ensuring successful project completion while fostering fellow engagement and technical growth. Working with approximately nine Fellows across three project teams, the Coach will provide both technical guidance and project management support to drive successful outcomes.
Essential Functions Include Technical Guidance & Project Support (50%)
Provide technical mentorship to teams building AI agents with LangGraph, RAG systems, and tool integrations
Review code and conduct debugging sessions to troubleshoot complex technical issues
Guide teams through agent architecture decisions, tool integration challenges, and deployment strategies
Support teams in evaluating agent performance using appropriate metrics
Attend all four workshops (1.5 hours each, one Tuesday each month) to circulate during breakout rooms and provide just‑in‑time technical support
Attend all four maker days (3‑4 hours each, on Saturday each month) to lead breakout sessions, ensure progress, and troubleshoot technical challenges
Find and review additional resources to support team projects as needed
Structured Check‑Ins & Progress Monitoring (30%)
Conduct biweekly one‑hour check‑ins with each of the three assigned teams (six total check‑ins per month)
Meet with teams during prework periods to assess progress on agent development
Meet with teams between workshops and maker days to provide feedback on deliverables
Monitor team progress and intervene to address technical blockers or team dynamics issues
Partner with program staff to manage unresolved issues affecting project success
Participate in biweekly community of practice meetings with other coaches and program staff
Assessment & Feedback (20%)
Grade team deliverables using provided rubrics and track submission completion
Provide constructive technical feedback on project milestones and presentations
Review and assess prework completion, following up with fellows who haven't completed assignments
Observe final presentations and provide meaningful feedback
Maintain attendance records for workshops, maker days, and team check‑ins
Required Qualifications
Experience in and/or demonstrated commitment to support the success and well‑being of undergraduate students from all lived experiences
Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members
Strong background in AI/ML with hands‑on experience in agent development
Proficient understanding of agentic AI frameworks (e.g., LangGraph or AutoGen) sufficient to address technical questions and guide fellows to appropriate resources
Experience with RAG systems, API integrations, and cloud deployment
Ability to troubleshoot code and debug complex systems
Experience in teaching, coaching, or mentoring, or demonstrated ability to learn these skills
Excellent communication and facilitation skills
Ability to thrive in a virtual work environment
Preferred Qualifications
Prior Break Through Tech and/or ML Foundations experience
Advanced degree in Computer Science, Data Science, or related field
Experience with LLM applications and prompt engineering
Experience with containerization and cloud platforms (AWS, GCP, Azure)
Experience with virtual instruction or team facilitation
Important Notes This is a part‑time, remote, temporary position beginning on January 20, 2026 and ending on April 25, 2026.
The position is expected to require an average of six hours per week over 14 weeks, with weekly hours ranging from 4–12 hours per week depending on program activities.
This role is not eligible for benefits.
These roles are open to any eligible candidates across the US.
Visa sponsorship is not available for this position.
Pay rate: $35 per hour.
AI Studio Coaches will be required to participate in about ten hours of pre‑program training in early January 2026.
AI Studio Coaches will be required to work the following key dates (times TBC) to support program events:
Workshop 1: Tuesday, January 20, 2026 (7:00–8:30 PM ET)
Maker Day 1: Saturday, January 31, 2026 (12:00–4:00 PM ET)
Workshop 2: Tuesday, February 17, 2026 (7:00–8:30 PM ET)
Maker Day 2: Saturday, February 28, 2026 (12:00–4:00 PM ET)
Workshop 3: Tuesday, March 17, 2026 (7:00–8:30 PM ET)
Maker Day 3: Saturday, March 28, 2026 (12:00–4:00 PM ET)
Workshop 4: Tuesday, April 14, 2026 (7:00–8:30 PM ET)
Maker Day 4: Saturday, April 25, 2026 (12:00–3:00 PM ET)
In addition to these dates, AI Studio Coaches will be expected to lead two (2) 60‑minute Check‑In Meetings with their teams per month.
Coaches will also meet at least biweekly with Program staff for check‑ins and trainings.
Coaches will be assigned to conduct outreach to at‑risk fellows which may include 1:1’s and post‑meeting follow‑ups.
Culture of Inclusion and Community Standards As an individual contributor you will model and support a culture of inclusion, belonging, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture.
EEO Statement Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world‑class education and career opportunities, to further the founding principle of “… any person … any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy‑related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
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