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Strategic Project Lead - Multimodal AI (London)

4 hours, 46 minutes ago
United Kingdom
Full-time
Mid Level
Technical Project Manager
Artificial Intelligence and Machine Learning
Computer Vision Generative AI LLM
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Appen

Appen

Appen is a global leader in providing high-quality data management services for AI development. With over 1 million crowd workers, Appen supports the world's top technology companies in enhancing their products and services. The company offers a divers...

IT Services
1001-5000
Founded 1996
$59M raised
View All Jobs 6

Description

  • Own end-to-end project delivery, including scope, timelines, budgets, staffing, and risks.
  • Lead client communications, status reporting, planning sessions, and escalations.
  • Translate client and technical requirements into data-collection workflows, annotation guidelines, tooling, and quality standards.
  • Define quality metrics and acceptance criteria for multimodal data and annotation outputs.
  • Monitor delivery quality, troubleshoot data issues, and resolve ambiguous requirements with clients.
  • Advise on project feasibility, collection methods, annotation approaches, and tooling.
  • Build reusable SOPs, guidelines, and QA frameworks for consistent delivery.
  • Mentor Operations Specialists and contribute to project scoping, pilots, and emerging multimodal AI capabilities.

Requirements

  • 1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment.
  • Familiarity with at least one multimodal data workflow involving images, video, 3D data, sensors, or robotics.
  • Experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
  • Understanding of data quality, annotation workflows, and quality assurance methods.
  • Ability to translate project requirements into data-collection workflows, annotation guidelines, and quality standards.
  • Strong problem-solving skills and ability to manage multiple priorities in a fast-moving environment.
  • Interest in multimodal models, spatial AI, or embodied AI.
  • Experience with image or video annotation, 3D data, point clouds, sensor data, or robotics data collection (preferred).
  • Exposure to 2D or 3D labeling, segmentation, tracking, structured annotation, autonomous systems, spatial AI, or embodied AI (preferred).
  • German or a Nordic language capability (preferred).

Benefits

  • Flexible ways of working based on team needs.
  • Tools, resources, and development opportunities to build capabilities over time.
  • Opportunity to work on complex AI challenges across industries and geographies.
  • Collaborative culture focused on curiosity, accountability, and high-quality delivery.

Interested in this position?

Apply directly on the company website

Apply Now

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