• Assess & Identify Opportunities • Conduct a comprehensive review of internal systems and workflows • Identify high-ROI AI and automation use cases • Evaluate data readiness and infrastructure maturity • Deliver an AI adoption and modernization roadmap • Integrate AI capabilities into CRM, ERP, ticketing, reporting, and operational platforms • Implement AI copilots, automation agents, and intelligent workflows • Redesign manual processes into scalable automation frameworks • Improve data structures to support predictive analytics and reporting • Evaluate and deploy LLM-based tools and automation platforms • Design internal AI assistants and knowledge systems • Build dashboards and AI-powered reporting tools • Ensure secure, compliant integration with existing infrastructure • Establish Governance & Enablement • Define AI governance and usage standards • Provide documentation and best practices • Guide leadership on responsible AI adoption • Train key stakeholders on implemented systems

The Mission Traditional real estate recruiting relies on manual cold calls, expensive ads, and outdated networking. Your mission is to completely reinvent how we grow. You are being brought in to build an automated, high-volume recruiting engine for the Houston Properties Team and the Real Edge Network. Instead of focusing on operational paperwork, your goal is pure growth: leveraging data scraping, AI, and outbound automation to identify top-producing real estate agents and automatically drive them to book an introductory call with our team. You will build the technical architecture that turns raw industry data into predictable, scalable revenue. What You Will Do - Architect the Growth Engine: Design and deploy automated outbound campaigns to source and recruit high-performing real estate agents to our network. - Data Sourcing & Scraping: Build automated systems to continuously pull and enrich data from MLS rosters, state licensing boards, and directories to build highly targeted prospect lists. - Master Deliverability: Configure DNS records (SPF, DKIM, DMARC) and manage domain warm-up strategies to ensure our outreach lands in the primary inbox, never the spam folder. - Multi-Channel Outreach: Set up and manage complex, multi-touch automated sequences across cold email, SMS, and LinkedIn that feel personal and drive high response rates. - Automate the Booking: Connect these outreach engines directly to our CRM and calendar systems so qualified agents automatically book appointments with our leadership team without any manual intervention. - Track & Optimize: Continuously A/B test messaging, channels, and AI prompts to lower the cost-per-acquisition and increase our appointment show rates.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous physics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous physics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Physics or related fields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.