aiqaproject managementroboticsdata annotationmultimodal aiembodied aispatial ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Широкая зона ответственностиПерспективная сфера ИИАутсорсинговая модельВозможности развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Strategic Project Lead - Multimodal AI (London) (Multimodal AI): Leading complex data programs that transform image, video, 3D, sensor, and robotics data into reliable training and evaluation resources with an accent on project delivery, annotation workflows, and data quality. Focus on designing collection processes, defining quality metrics, resolving ambiguous requirements, and building reusable QA frameworks for frontier AI projects.
Location: Remote, London
Company
hirify.global delivers complex, high-quality data programs and AI solutions for frontier AI models across industries and geographies.
What you will do
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, monitor delivery quality, troubleshoot data issues, and resolve ambiguous requirements.
Advise on feasibility, collection methods, annotation approaches, and tooling for multimodal data projects.
Build reusable SOPs, guidelines, and QA frameworks; mentor Operations Specialists and contribute to 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 clear data collection workflows, annotation guidelines, and quality standards.
Strong problem-solving skills and the ability to manage multiple priorities in a fast-moving environment.
Interest in current AI developments, including multimodal models, spatial AI, or embodied AI.
Nice to have
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.
Culture & Benefits
Culture focused on innovation, collaboration, excellence, curiosity, accountability, and high-quality AI solutions.
Work on complex AI challenges across industries and geographies.
Flexible ways of working supported by tools and resources.
Development opportunities to build capability over time.
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