Director of Generative AI Operations at Hugo Technologies

Nigeria
March 19, 2026
Remote
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Job Description

Hugo Technologies is seeking an experienced Director of Generative AI Operations to lead the end-to-end delivery and scaling of Generative AI and data annotation services for global enterprise clients. This role combines operational leadership, AI program expertise, and distributed workforce management to drive high-quality, scalable AI delivery in a fast-evolving environment.

Location: Nigeria (Remote, West Africa & US time zone coverage)
Department: Service Delivery, AI Operations

Key Responsibilities:

  • Lead delivery across multiple Generative AI and advanced ML workflows, including pilots, scaled programs, and experimental projects.
  • Develop and scale AI operations models, translating client objectives into actionable staffing strategies, workflows, and metrics.
  • Design and execute pilot programs that validate quality, tooling fit, and workflow efficiency, while converting successful pilots into long-term engagements.
  • Oversee distributed workforce strategies, certification pathways, performance calibration, and skill development to ensure operational excellence.
  • Act as a senior delivery partner to client teams, providing insights on workflow optimization, system design trade-offs, and operational strategies.
  • Define and monitor key performance dashboards, operational systems, SOPs, and continuous improvement cycles.

Requirements:

  • 8–12+ years in operations, program leadership, or delivery roles, with recent experience in AI, ML, or data-intensive programs.
  • Proven success leading distributed, multicultural teams in hyper-agile environments with evolving requirements.
  • Experience managing crowd-based, freelance, or hybrid AI operations programs.
  • Strong analytical skills with the ability to translate ambiguity into scalable delivery systems.
  • Executive-level communication skills and experience engaging with senior clients.

Preferred Qualifications:

  • Leadership experience at crowd-focused AI or distributed delivery companies (e.g., Mercor, Invisible, Turing, Snorkel, Scale AI, Surge).
  • Familiarity with ML annotation, RLHF-style workflows, or human-in-the-loop AI systems.
  • Demonstrated ability to balance speed, quality, and workforce wellbeing in dynamic AI delivery environments.

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