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 statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - 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 statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) 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 $73/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 statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - 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 statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) 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 $73/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.

FutureSight is seeking an experienced and visionary Founding CEO to lead the launch of a new AI-native SaaS company that automates growth for SMB service businesses. Today, service operators rely on fragmented tools, manual follow-up, and disconnected marketing efforts — leading to lead leakage, slow response times, poor attribution, and inconsistent bookings. This product replaces that complexity with a vertical-specific system of AI GTM Agents that autonomously manage the full customer lifecycle — from first touch to booked job to repeat business — with clear, measurable ROI. This is not marketing software, not a CRM, and not an agency. It is a done-with-you / done-for-you AI workflow product, integrated into the operator’s system of record, designed to deliver what operators actually want: more booked jobs, higher retention, stronger local trust, and provable returns on spend. As Founding CEO, you will - Win customers — Run pilots, shape pricing, and validate retention + expansion. - Build the product — Work with FutureSight’s product/engineering pod to launch V1. - Raise capital — Lead the seed round with our initial investment. - Build your team — Hire your founding team and set the cultural foundation. About FutureSight FutureSight is a venture studio that co-creates and invests in B2B SaaS and Vertical AI startups alongside exceptional entrepreneurs. We give founders an unfair advantage — pairing hands-on studio support with early capital, thereby reducing risk and increasing the odds of success by 10x. We’re led by a cross-functional team of builders and investors. Kevin Nguyen and Alan Smith lead venture design and product strategy. Prathna Ramesh applies her experience as a venture investor with capital strategy in every new business. Dennis Ensing mentors our ventures with operational and strategic expertise, Krista LaRiviere brings years of entrepreneurial and marketing experience as a multi-time exited founder, and Anupama Joshi drives founder excellence. John Carbrey (San Francisco), a successful software entrepreneur and people leader, adds deep insight into scaling startups from 0 to 1, having built and exited multiple prior SaaS ventures. What We Bring - Validated problem —  You will enter a venture with a proven market need and strong momentum toward building and scaling. - Studio bench strength — Designers, engineers, growth marketers, and fundraising pros are embedded from Day 1. - Capital commitment — Initial pre-seed funding for early hires and building the MVP with potential for follow-on funding, and access to our investor and advisor network. What You Bring - Founder-level drive — You’re motivated to co-found a new venture as the CEO. With or without us, this is your calling. - Startup scrappiness — You know what you’re signing up for. You’re familiar with the scrappiness of owning something from start to finish. - Previous founding experience — You have co-founded a product company or B2B SaaS venture, or have been at a venture-backed company. - Risk appetite and capacity — Read more on our post on the Entrepreneurial Risk Profile. - GTM chops — Proven success in B2B SaaS sales, marketing, and customer engagement. - Fundraising fluency — Able to craft investor narratives and close capital; well-networked in fintech and early-stage communities. - People leadership — Magnet for top talent; coach and culture carrier. - Industry experience — Experience designing and scaling GTM workflows across lead capture, conversion, and retention in B2B SaaS. What You Can Expect - Daily active engagement with our team to: launch initial product, achieve initial market traction and prepare for seed fundraise. - Full P/L ownership of the new entity. - A significant equity stake in the business. - This is a full-time role; we are seeking someone to dedicate themselves full-time and exclusively to building and owning a new SaaS venture. Ready to build? If this is the perfect opportunity for you, we want to hear from you! Submit your Resume and LinkedIn profile and tell us more about why you think we should chat! FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

• Win customers — Run pilots, shape pricing, and validate retention + expansion. • Build the product — Work with FutureSight’s product/engineering pod to launch V1. • Raise capital — Lead the seed round with our initial investment. • Build your team — Hire your founding team and set the cultural foundation.