Strategic Project Lead – Multimodal AI

Appen

. Own end-to-end project delivery across scope, timelines, budgets, staffing, and risks .

Posted 10/28/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing end-to-end project delivery for AI data operations, focusing on multimodal data workflows and quality assurance. Capable of translating technical requirements into actionable data collection strategies while mentoring team members and ensuring client satisfaction.

Highest-signal resume keywords

AI Data Operations ExperienceMultimodal Data Workflow CoordinationData Quality Assurance MethodsClient Communication and Stakeholder ManagementProblem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project CoordinationData Collection WorkflowsAnnotation GuidelinesQuality StandardsImage AnnotationVideo Annotation3D Data HandlingPoint CloudsSensor DataRobotics Data Collection

Soft Skills

Strong Problem-Solving SkillsAbility to Manage Multiple Priorities

Tools & Technologies

QA FrameworksSOPsAnnotation Tools

Industry Keywords

GenAIFrontier AIMultimodal ModelsSpatial AIEmbodied AI

About the role

Key responsibilities & impact

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
Lead projects helping AI companies develop and improve frontier models through high-quality data programs
Work closely with clients and internal teams to translate AI research needs into workflows, datasets, and measurable outcomes

Requirements

What you’ll need

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 ability to manage multiple priorities in a fast-moving environment
Interest in current AI developments, 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 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

Benefits

Comp & perks

Permanent - Regular Full-time employment
Remote work flexibility
Tools, resources, and development opportunities
Opportunity to work on complex AI challenges across industries and geographies
Collaborative culture focused on innovation, accountability, curiosity, and quality