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Appen

Provides human-annotated data for AI training

Strategic Project Lead - Multimodal AI

Project ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedRemote

About the Job

Requirements

  • At least 1–2 years of experience in AI data operations, project coordination, or delivery, ideally in a generative AI 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 clear data collection workflows, annotation guidelines, and quality standards.
  • Ability to manage multiple priorities in a fast-moving environment.

Responsibilities

  • Own end-to-end project delivery across scope, timelines, budgets, staffing, and risks.
  • Lead client communication, status reporting, planning sessions, and escalations.
  • Translate technical and client 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 based on domain expertise.
  • Build reusable standard operating procedures, guidelines, and quality assurance frameworks to support consistent delivery.
  • Mentor Operations Specialists and contribute to project scoping, pilots, and emerging multimodal AI capabilities.

Desired Qualifications

  • Experience with image or video annotation, 3D data, point clouds, or sensor data.
  • Familiarity with robotics data collection or real-world perception workflows.
  • Exposure to 2D or 3D labeling, segmentation, tracking, or structured annotation tasks.
  • Experience with autonomous systems, spatial AI, or embodied AI.
  • Bilingual capabilities, particularly German or a Nordic language.
  • Interest in current AI developments, including multimodal models, spatial AI, or embodied AI.

About the Company

Appen

Provides human-annotated data for AI training

Appen creates and curates large datasets used to train and improve artificial intelligence. It relies on a global, crowdsourced workforce to produce human-annotated data across text, images, audio, and video, which powers AI systems such as search engines and social feeds. Its products include data annotation services and platforms (like Figure Eight) and specialized data like mobile location data (Quadrant) to support ML pipelines. The company differentiates itself through scale, a broad range of data types, and a history of strategic acquisitions that expand its capabilities (e.g., Leapforce for search relevance, Figure Eight for annotation tooling, Quadrant for location data), enabling end-to-end data supply for enterprise AI. Its goal is to help organizations build reliable AI by providing high-quality labeled data and to capitalize on opportunities in generative and enterprise AI while returning to profitability under new leadership.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1996

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