ORE-ATORY: Elevating Mining Minds
ORE-ATORY: Elevating Mining Minds

Ep 38: Mining Made Human From Voice-Driven Safety to Tailings Revival

05 March 2026 51:24 Lindsey Schultz

Listen to episode

About this episode

👤Jack Kellner, Senior Director of regeneration & Co-Founder of CanaryWaves🎙️Lindsey Schultz, CEO of MRC Recruiting From memes to mine sites, Jack Kellner shows how humor, human voice, and smart tech can transform safety, tailings, and talent in mining. This episode spotlights solutions that start small, scale smart, and put people first.

Episode summary:

Lindsey talks with Jack Kellner of Canary Waves and Regeneration about humanizing mining, smarter safety, and community driven closure. Jack shares the origin of Canary Waves, a voice AI platform that captures radio chatter to add context to KPIs, surface repeat issues, and move sites from reactive to predictive. He unpacks Regeneration's stakeholder first approach to tailings reprocessing, pairing restoration with modular, capital light execution, and creative offtake models. They riff on gamifying mining to build the future talent pipeline, challenge the reflex of de risking as a kill switch, and make the case for starting small, communicating clearly, and keeping it fun, with real value for operators, innovators, and leaders.

Our Promise:

We aim to engage with the most creative minds in mining, from engineers and executives to environmentalists and geologists, to explore groundbreaking projects and pioneering innovations. Our discussions are designed not only to inform but to inspire action and empower our listeners to lead and innovate.

Stay Connected:

- LinkedIn: https://www.linkedin.com/company/mrcrecruiting/

- Website: https://mrcrecruiting.com/

- Facebook: https://www.facebook.com/MRCRecruiting

- Instagram: https://www.instagram.com/MRCRecruiting

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 ORE-ATORY: Elevating Mining Minds. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.