Spring AI Studio Coach (standard Wids Track), Break Through Tech (NYC) - Remote Eligible

Break Through Tech Ai Studio Coaches

Break Through Tech is seeking AI Studio Coaches (Standard WiDS Track) to guide and support undergraduate fellows through the Spring 2026 AI Studio. Coaches will foster engagement, facilitate community, and provide light-touch technical and professional guidance during the WiDS Datathon and monthly Maker Days.

This is a fully remote role requiring flexible evening and weekend availability to support national program events. Each Coach will be assigned a case load of approximately 100 fellows, serve as a primary point of contact for questions, and lead community-building and mentorship activities across Slack, Zoom, and program events.

Essential Functions Include

• Fellow Support & Engagement (40%)
• Facilitate 45-60 minute breakout activities on topics aligned with the WIDS Datathon.
• Lead team introductions and community-building during the onboarding period (January 17-30).
• Maintain a strong, positive presence in Slack channels to answer questions, share updates, and foster community.
• Conduct at-risk fellow outreach and 1:1 check-ins for students experiencing participation or engagement challenges.
• Host weekly virtual office hours or AMA sessions to provide general program and technical support.
• Technical & Project Support (40%)
• Guide fellows through WiDS Datathon onboarding on January 31, ensuring successful registration and team formation on Kaggle.
• Offer light-touch technical guidance on data science workflows, including dataset exploration, notebooks, and submission processes.
• Provide hands-on support during the 36-hour Hackathon (February 28) by visiting breakout rooms and assisting teams as needed.
• Direct fellows to appropriate resources or forums (e.g., WiDS Global Hub, Kaggle Discussions).
• Review fellow submissions for completion and engagement milestones, ensuring all participants make at least one Kaggle submission.
• Program Operations & Collaboration (20%)
• Take attendance and report engagement during Maker Days and other program events.
• Attend pre- and post-Maker Day huddles with staff and other coaches to align on facilitation roles and lessons learned.
• Participate in biweekly Community of Practice (CoP) meetings to share strategies and improve the fellow experience.
• Collaborate with the Break Through Tech team to identify student trends, engagement gaps, or community highlights.
• Support ad hoc program events such as the Closing Celebration (April) and community spotlights throughout the term.

Required Qualifications

• Experience supporting or mentoring undergraduate students in academic or technical programs.
• Demonstrated ability to cultivate inclusive, equitable, and encouraging learning environments.
• Strong proficiency in machine learning concepts (LLMs, neural networks, generative AI, image classification) sufficient to address technical questions and guide fellows to appropriate resources.
• Strong proficiency with Python-based data science workflows (Pandas, scikit-learn, notebooks) and demonstrated experience applying these tools in AI/ML contexts.
• Excellent communication and facilitation skills across Slack, Zoom, and virtual learning tools.
• Strong organizational skills and ability to manage multiple teams in a fast-paced remote environment.

Preferred Qualifications

• Prior Break Through Tech experience (ML Foundations, AI Studio, or WiDS).
• Experience with data competitions (e.g., Kaggle, WiDS Datathon).
• Background in data science, computer science, or analytics.
• Experience in coaching, teaching, or peer mentorship roles.

Important Notes

• This is a part-time, remote, temporary position beginning on January 12, 2026 and ending on April 25, 2026.
• The position is expected to require an average of 6 hours per week, with weekly hours ranging from 4-10 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.

Key Dates (Required Attendance)

• Coach Onboarding: January 14-16
• Team Introductions: January 17-30
• Maker Day 1: Saturday, January 31 (12-4 PM ET)
• Maker Day 2 (Hackathon): Saturday, February 28 (12-4 PM ET)
• Maker Day 3: Saturday, March 28 (12-4 PM ET)
• Closing Celebration: Late April (date TBA)

Coaches are also expected to:

• Attend biweekly Community of Practice sessions
• Host weekly office hours
• Conduct at-risk outreach and mentorship
• Attend Maker Day pre/post huddles