[Hiring] Talent Operations Manager @24-MAG

Role Description

We are sharing a full-time opportunity for an experienced Talent Operations Manager with strong expertise in large-scale onboarding, stakeholder coordination, cross-functional execution, contributor operations, and data-driven programme management to support high-velocity AI training and human-data deployments.

The role sits at the intersection of contributors, internal teams, and enterprise clients, with responsibility for keeping large-scale onboarding and talent operations organised, responsive, and aligned with changing project needs. This is a hands-on operations role centred on coordination and execution rather than traditional direct-report people management.

Key Responsibilities

• Large-Scale Onboarding & Activation
  • Run high-volume contributor onboarding and activation workflows
  • Coordinate onboarding across multiple concurrent projects
  • Ensure contributors receive clear instructions, timelines, and next steps
  • Identify friction within activation processes and resolve blockers quickly
  • Maintain a strong contributor experience while operating at scale
• Talent Coordination & Deployment
  • Coordinate distributed talent pools across AI training and data-operations programmes
  • Match contributor availability and capabilities to evolving project requirements
  • Track activation, participation, and operational readiness
  • Maintain visibility across large groups of contributors
  • Ensure appropriate talent is activated at the right time for project needs
• Client & Stakeholder Management
  • Work closely with enterprise clients and internal stakeholders
  • Maintain alignment across project requirements, timelines, and operational priorities
  • Communicate progress, risks, and dependencies clearly
  • Anticipate stakeholder needs and resolve issues before they disrupt delivery
  • Support strong execution across client-facing deployments
• Project Operations & Performance Tracking
  • Track milestones, risks, outcomes, and operational performance
  • Produce clear weekly updates for stakeholders
  • Monitor project health using dashboards, metrics, and KPIs
  • Identify emerging issues through operational data
  • Drive follow-through on actions and unresolved dependencies
• Contributor Engagement & Community Operations
  • Run community syncs and contributor-engagement initiatives
  • Keep contributors informed about project changes and priorities
  • Improve communication across distributed contributor groups
  • Support retention and participation through clear operational processes
  • Gather feedback and identify recurring contributor-experience issues
• Cross-Functional Collaboration & Process Improvement
  • Partner with product, engineering, operations, and other teams
  • Adapt workflows as model and client requirements evolve
  • Use data to improve onboarding, quality, and contributor retention
  • Identify process gaps and implement practical improvements
  • Support scalable operating systems for high-velocity deployments

Qualifications

• Strong written communication skills with a clear, structured, and direct style
• Highly organised and comfortable coordinating many concurrent workstreams
• Strong ownership and follow-through
• Ability to identify operational gaps and resolve them proactively
• Comfortable working with dashboards, KPIs, and operational data
• Strong stakeholder-management and cross-functional collaboration skills
• Ability to adapt quickly when priorities or requirements change
• Strong coordination and execution skills
• Leadership capability without requiring extensive direct-report management experience
• Comfortable operating in fast-moving, distributed environments
• Experience in human data, AI training, data operations, talent operations, or technical-client environments is advantageous but not required

Engagement Details

• Full-time engagement
• Fully remote
• Base compensation: $70,000–$110,000/year
• The role is focused on operations, coordination, and execution rather than traditional people management
• Work will involve large-scale onboarding, contributor coordination, client alignment, operational reporting, and process improvement
• Strong communication, organisation, and stakeholder-management skills are central to this role
• Responsibilities may span multiple AI training and human-data programmes simultaneously
• Operational priorities and contributor requirements may evolve as client and model needs change