Strategic Project Lead – Multimodal AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of complete project delivery, managing scope, timelines, budgets, staffing, and risks.

• Facilitate client interactions, status updates, planning meetings, and escalations.

• Convert technical and client requirements into data collection processes, annotation guidelines, tools, and quality standards.

• Establish quality metrics and acceptance criteria for multimodal data and annotation results.

• Oversee delivery quality, address data issues, and clarify ambiguous requirements in collaboration with clients.

• Provide insights on project feasibility, collection methods, annotation strategies, and tools based on your domain expertise.

• Develop reusable standard operating procedures (SOPs), guidelines, and quality assurance frameworks to ensure consistent delivery.

• Mentor Operations Specialists and engage in project scoping, pilot programs, and the development of emerging multimodal AI capabilities.

• Lead initiatives that assist AI firms in creating and refining advanced models through high-quality data programs.

• Collaborate closely with clients and internal teams to transform AI research needs into actionable workflows, datasets, and measurable results.

⛳️ Requirements

• 1–2+ years of experience in AI data operations, project coordination, or delivery, preferably within a GenAI or frontier AI setting.

• Familiarity with at least one multimodal data workflow that includes images, video, 3D data, sensors, or robotics.

• Proven experience in coordinating projects or workstreams, managing stakeholders, and engaging with clients.

• Understanding of data quality, annotation workflows, and quality assurance techniques.

• Capability to translate project requirements into well-defined data collection workflows, annotation guidelines, and quality standards.

• Strong problem-solving abilities and aptitude for managing multiple priorities in a fast-paced environment.

• Keen interest in the latest AI advancements, including multimodal models, spatial AI, or embodied AI.

• Experience with image or video annotation, 3D data, point clouds, or sensor data.

• Familiarity with robotics data collection or real-world perception processes.

• Exposure to 2D or 3D labeling, segmentation, tracking, or structured annotation tasks.

• Experience with autonomous systems, spatial AI, or embodied AI.

• Bilingual skills, especially in German or a Nordic language.

🏝️ Benefits

• Permanent - Regular Full-time employment.

• Remote work flexibility.

• Access to tools, resources, and development opportunities.

• Opportunity to tackle complex AI challenges across various industries and regions.

• A collaborative culture that emphasizes innovation, accountability, curiosity, and quality.