• Help define Talent Engineering in Ukraine: build AI agents, workflows, and analytics that transform how high-bar recruiting gets done • Build the AI systems that make our Talent Partners unstoppable • You'll know this role is working when: Time-to-first-candidate drops from ~2 weeks to 2-3 days • When a search opens, the first qualified candidate hits the client within days, not weeks • Talent Partners run ~10 high-signal interviews per role, up from ~5, because you've taken manual sourcing off their plate • 3-4 sourcing hypotheses run in parallel from week one - no more sequential testing • Team Tailor becomes the single source of truth • You'll prototype, benchmark, and ship weekly, and document what works and what doesn't • Expect to shadow live searches for the first 2-3 weeks before making any changes

• Own and evolve the enterprise activation AI strategy, with accountability for AI eco-system governance, platform, tool, and model activation, and end-to-end value optimization • Assess, shape the existing AI vendor, and platform landscape to identify value optimization opportunities aligned to business priorities, enterprise constraints, and security requirements • Define pragmatic governance, operating models, and guardrails that enable responsible AI adoption without creating unnecessary friction • Establish frameworks to measure usage, risk, and optimization opportunities across our enterprise landscape and our workforce • Monitor emerging AI technologies, market developments, and vendor roadmaps to inform strategic decisions and maintain competitive advantage • Partner with business leaders to enable decisioning and to connect this to enterprise IT execution • Act as a trusted advisor rather than a reactive order taker • Work within, and orchestrate across, IT and cybersecurity teams to reduce unnecessary friction while working within a risk tolerant framework appropriate to address the business needs • Design and promote pragmatic AI governance models that drive low process friction and high AI adoption • Balance speed, innovation, and security in decision-making • Drive cultural change within IT toward a consultative, business-enabling mindset • Challenge legacy control-driven behaviors that limit innovation • Influence stakeholders across multiple levels without relying solely on authority • Educate business and IT teams on AI opportunities, risks, and mitigation strategies

• Own and evolve the enterprise activation AI strategy, with accountability for AI eco-system governance, platform, tool, and model activation, and end-to-end value optimization • Assess, shape the existing AI vendor, and platform landscape to identify value optimization opportunities aligned to business priorities, enterprise constraints, and security requirements • Define pragmatic governance, operating models, and guardrails that enable responsible AI adoption without creating unnecessary friction • Establish frameworks to measure usage, risk, and optimization opportunities across our enterprise landscape and our workforce • Monitor emerging AI technologies, market developments, and vendor roadmaps to inform strategic decisions and maintain competitive advantage • Partner with business leaders to enable decisioning and to connect this to enterprise IT execution • Act as a trusted advisor rather than a reactive order taker • Work within, and orchestrate across, IT and cybersecurity teams to reduce unnecessary friction while working within a risk tolerant framework appropriate to address the business needs • Design and promote pragmatic AI governance models that drive low process friction and high AI adoption • Drive cultural change within IT toward a consultative, business-enabling mindset • Challenge legacy control-driven behaviors that limit innovation • Influence stakeholders across multiple levels without relying solely on authority • Educate business and IT teams on AI opportunities, risks, and mitigation strategies

Role Description 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: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. Qualifications - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection Requirements This opportunity is a good fit for legal consultants, attorneys with experience in US law open to part-time, non-permanent projects. Benefits - Earn up to $75 per hour equivalent, depending on level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. - Other projects on the platform may offer different earning levels based on their requirements. Company Description Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations: - 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.