Strategic Project Lead - Multimodal AI
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Strategic Project Lead - Multimodal AI (United States); Listing location: RemoteFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 1–2+ years of experience in AI data operations, project coordination, or delivery
- Required Skills
- Project CoordinationStakeholder management
Requirements
- Have 1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment.
- Be familiar with at least one multimodal data workflow involving images, video, 3D data, sensors, or robotics.
- Have experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
- Understand data quality, annotation workflows, and quality assurance methods.
- Be able to translate project requirements into clear data collection workflows, annotation guidelines, and quality standards.
- Demonstrate problem-solving skills and the ability to manage multiple priorities in a fast-moving environment.
- Have an 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.
- Nice to have: familiarity with robotics data collection or real-world perception workflows.
- Nice to have: exposure to 2D or 3D labeling, segmentation, tracking, or structured annotation tasks.
- Nice to have: experience with autonomous systems, spatial AI, or embodied AI.
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 SOPs, guidelines, and QA frameworks to support consistent delivery.
- Mentor Operations Specialists and contribute to project scoping, pilots, and emerging multimodal AI capabilities.
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