
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏪 Marketplace
🤝 B2B
Artificial Intelligence • Marketplace • B2B
Mindy Support is a global platform that connects remote contributors and professionals with AI projects, offering flexible paid work such as data annotation, video and image labeling, and AI data collection. Operating under brands like Mindy Teams and backed by an organization active since 2013, the company serves Fortune 500 firms and startups with a distributed workforce across hubs in Cyprus, Poland, Romania, the Netherlands, India, and Ukraine. Mindy Support emphasizes flexible remote opportunities for a wide range of skill levels, secure payments, and information security compliance (ISO 27001, GDPR). It reports 1,250+ projects delivered and a network of 250k+ talents worldwide.
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1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏪 Marketplace
🤝 B2B
Artificial Intelligence • Marketplace • B2B
Mindy Support is a global platform that connects remote contributors and professionals with AI projects, offering flexible paid work such as data annotation, video and image labeling, and AI data collection. Operating under brands like Mindy Teams and backed by an organization active since 2013, the company serves Fortune 500 firms and startups with a distributed workforce across hubs in Cyprus, Poland, Romania, the Netherlands, India, and Ukraine. Mindy Support emphasizes flexible remote opportunities for a wide range of skill levels, secure payments, and information security compliance (ISO 27001, GDPR). It reports 1,250+ projects delivered and a network of 250k+ talents worldwide.
• Launch data collection as a dedicated strategic service line • Define the operating model, sourcing structure, resourcing approach, recruitment requirements, quality standards, and delivery processes for data collection services • Build repeatable playbooks and best practices for new data collection projects, markets, languages, and contributor profiles • Translate commercial demand into sourcing and workforce plans • Staff, launch, and scale large-scale projects quickly while maintaining quality and control • Oversee and improve global talent, contributor, and data-sourcing channels • Scale the crowdsourcing delivery model across geographies, talent pools, languages, and service lines • Build and maintain an engaged community of active contributors • Establish contributor segmentation, qualification, onboarding, activation, retention, and re-engagement processes • Design standards for contributor communication, support, performance management, and quality control • Coach internal recruitment and talent operations teams • Introduce automation across sourcing, recruitment, onboarding, qualification, communication, scheduling, activation, and reporting • Select or implement systems for managing a distributed global contributor base • Create standardized workflows for faster, more predictable project launches • Establish performance-management systems covering sourcing funnels, conversion, costs, channel effectiveness, ramp time, quality, utilization, retention, NPS, partner performance, capacity, and demand forecasting • Deliver an operating model, unified sourcing strategy, faster ramp-ups, contributor growth, expanded geographic/language/skills coverage, partner networks, automated workflows, dashboards, KPIs, and capacity forecasts within the first 1–3 months
• 5+ years of relevant experience in strategic recruitment, delivery, or program management functions • Proven experience in talent operations, workforce operations, crowdsourcing, recruitment operations, data collection, outsourcing, BPO, gig platforms, or distributed workforce management • Experience launching or scaling high-volume, multi-country talent or contributor programs • Strong understanding of crowdsourced delivery models and gig workforce operations • Experience managing direct recruitment, agencies, subcontractors, communities, and external providers • Track record of building operational models, processes, controls, and performance systems from the ground up • Experience with rapid project ramp-ups and fluctuating workforce demand • Strong analytical capability using funnel, capacity, cost, quality, and productivity metrics • Strong partner-management and commercial negotiation skills • Proficiency with modern AI tools • Experience in AI data services, data annotation, data collection, content moderation, localization, BPO, customer support outsourcing, or distributed service environments is an advantage • Ability to move quickly from strategy to implementation • Ability to create structure in an evolving environment • Ability to challenge weak assumptions and bring practical solutions • Ability to build accountability without unnecessary bureaucracy • Clear communication with teams, partners, and senior leadership
• Competitive compensation • Opportunity to build a strategic business capability from an early stage • Work on large-scale projects supporting leading global AI companies • Environment that values ownership, clear thinking, and practical execution
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