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Global Recruitment Lead – AI/ML, Data Programs
Whitecollars. Design and run the global hiring strategy for annotation, multilingual projects, LLM evaluation, LiDAR and Physical AI expertise, and specialized Legal, Medical, Maths, and Science domains .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in global talent acquisition, focusing on scaling distributed teams and managing recruitment pipelines across diverse regions. Proficient in designing structured hiring frameworks and utilizing data-driven strategies to enhance recruitment processes and meet organizational needs.
Highest-signal resume keywords
Global Talent Acquisition ExperienceScaling Distributed TeamsData-Driven Recruitment StrategiesExperience in AI/ML and Data ServicesClear Communication and Stakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Recruitment Pipeline ManagementStructured Screening FrameworksCertification ProcessesBenchmarking SystemsData Analysis and Dashboard CreationMultilingual Workforce ModelsAI Data Annotation HiringLLM Evaluation HiringCV/LiDAR Expertise HiringContractor-Based Workforce Management
Soft Skills
Clear CommunicationStakeholder ManagementAdaptability in Fast-Paced EnvironmentsOutcome Ownership
Tools & Technologies
ATS SystemsAutomation ToolsFreelance MarketplacesDistributed Talent Networks
Certifications & Qualifications
Bachelor's Degree in BusinessBachelor's Degree in Human ResourcesBachelor's Degree in Management
Industry Keywords
AI/MLData ServicesSaaSBPOTech-Enabled PlatformsGlobal Hiring StrategyMultilingual ProjectsLiDARPhysical AISpecialized Domains
About the role
Key responsibilities & impact- Design and run the global hiring strategy for annotation, multilingual projects, LLM evaluation, LiDAR and Physical AI expertise, and specialized Legal, Medical, Maths, and Science domains
- Build and manage recruitment pipelines across the US, Europe, LATAM, MENA, and APAC
- Set up and scale vendor, freelancer, and distributed talent networks
- Lead high-volume, fast-turnaround hiring while maintaining strict quality benchmarks
- Design structured screening frameworks, certification processes, and benchmarking systems
- Forecast workforce needs with delivery and operations leaders
- Improve recruitment processes, automation tools, and ATS systems
- Track and report time-to-fill, time-to-certify, bench readiness, and pipeline health
- Ensure distributed hiring meets contractual, regional, and data security requirements
- Refine sourcing strategies to expand global talent coverage and scalability
Requirements
What you’ll need- Experience scaling distributed teams of 50 to 500+ people across international programs
- 5 to 10 years of global talent acquisition experience
- Experience ideally in AI/ML, data services, SaaS, BPO, or tech-enabled platforms
- Understanding of multilingual and contractor-based workforce models
- Experience hiring for AI data annotation, LLM evaluation, CV/LiDAR, or domain-expert roles
- Experience with global freelance marketplaces and distributed expert networks is a strong bonus
- Data-driven approach, including building dashboards and using data to adjust strategy
- Clear communication and confident stakeholder management
- Ability to manage fast-paced, high-growth environments and own outcomes
- Bachelor's degree in Business, Human Resources, Management, or a related field
Benefits
Comp & perks- Foundational role building the international workforce engine from the ground up
- Global reach powering AI programs across every continent
- Visible strategic impact connected to delivery, client success, and business growth
- Room to grow into senior leadership roles
- Competitive salary plus performance-based incentives linked to hiring success
- Compensation negotiable and benchmarked to the regional market
- Professional development support and learning opportunities
- Fully remote work
- Working hours combining regional time zone with overlapping hours for global collaboration