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Strategic Project Lead - Multimodal AI (United States)

Project Management Full-time Permanent United States

Job details

Not specified Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Lead multimodal data programs that support the development and evaluation of advanced AI models. The role combines project delivery with practical knowledge of data workflows, helping turn client and technical needs into usable datasets, clear processes, and measurable quality outcomes across modalities such as images, video, 3D data, sensors, or robotics.

Responsibilities - Manage projects end to end, including scope, schedules, budgets, staffing, and risks. - Lead client communication, planning, status updates, and escalations. - Convert technical requirements into data collection processes, annotation guidance, tooling needs, and quality standards. - Set quality measures and acceptance criteria, monitor outputs, and resolve data issues or unclear requirements. - Advise on feasibility, collection methods, annotation approaches, and tools using relevant domain knowledge. - Develop reusable procedures and quality frameworks, mentor operations colleagues, and contribute to project scoping and pilots.

Requirements - 1–2+ years in AI data operations, project coordination, or delivery, ideally in generative AI or frontier AI. - Familiarity with at least one multimodal workflow, such as image, video, 3D, sensor, or robotics data. - Experience coordinating projects or workstreams, stakeholders, and client communication. - Understanding of data quality, annotation processes, and quality assurance. - Ability to turn requirements into clear workflows, guidelines, and quality standards. - Strong problem-solving skills, ability to manage competing priorities, and interest in multimodal, spatial, 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, including labeling, segmentation, or tracking. - Exposure to autonomous systems, spatial AI, or embodied AI. - German or a Nordic language in addition to English.

Benefits and work setup

The role offers flexibility in how work is delivered, along with tools, resources, and development opportunities. The source identifies the position as United States-based but does not specify further location or travel arrangements.

Skills detected in the listing

Stakeholder Management
Detected Oct 28, 2026
Last verified Nov 12, 2026

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