Strategic Project Lead - Multimodal

Added
27 days ago
Type
Full time
Salary
Salary not provided

Related skills

project management rlhf annotation multimodal
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πŸ“‹ Description

  • Be primary contact and strategic advisor for US clients on multimodal AI programs.
  • Translate model requirements into structured plans with milestones and quality benchmarks.
  • Lead cross-functional discussions on data quality and delivery architecture.
  • Identify growth opportunities by aligning with client roadmaps.
  • Design end-to-end delivery for multimodal annotation, evaluation, and RLHF.
  • Build scalable execution systems for video, image generation, audio tasks.
  • Govern programs with milestones, escalations, and quality gates.
  • Anticipate and resolve cross-functional dependencies.
  • Own quality architecture for multimodal programs including QA protocols.
  • Align ground truth data with downstream training objectives.
  • Create feedback loops between evaluation signals and model metrics.
  • Maintain accountability for data quality at program level.
  • Build delivery teams with modality-specific expertise.
  • Onboard and calibrate teams rapidly for complex modality combos.
  • Foster a culture of quality ownership and continuous improvement.
  • Develop program-level delivery intelligence to inform decisions.
  • Build repeatable playbooks that scale across accounts.
  • Evolve operational frameworks for new model architectures.

🎯 Requirements

  • 6–10 years in program or project management within AI/ML or data ops.
  • Experience in two or more: CV, image gen, video QA, audio, or multimodal tasks.
  • Proven ability to manage external client relationships at a technical level.
  • Experience leading cross-functional delivery teams in fast-paced environments.
  • Strong analytical instincts to diagnose issues from first principles.
  • Fluency in English; available to work US business hours from LATAM.

🎁 Benefits

  • Amazing work culture (collaborative and supportive).
  • Awesome colleagues from Meta, Google, LinkedIn, and startup spaces.
  • Competitive compensation.
  • Flexible working hours.
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