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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI data operations and project coordination, with a focus on multimodal data workflows and quality assurance. Capable of translating technical requirements into effective data collection and annotation strategies while managing client communications and project delivery.
Highest-signal resume keywords
AI Data Operations ExperienceMultimodal Data Workflow FamiliarityProject Coordination SkillsData Quality Assurance UnderstandingStrong Problem-Solving Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Collection WorkflowsAnnotation GuidelinesQuality StandardsImage AnnotationVideo Annotation3D Data HandlingPoint CloudsSensor Data ManagementRobotics Data CollectionStructured Annotation Tasks
Soft Skills
Client CommunicationStakeholder ManagementMentoringTroubleshootingPrioritization
Tools & Technologies
Annotation ToolsQA FrameworksSOP Development
Industry Keywords
GenAIFrontier AISpatial AIEmbodied AIAutonomous Systems
About the role
Key responsibilities & impact- Lead AI post-training projects that help companies develop and improve frontier models through high-quality data programs
- 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
- Build reusable SOPs, guidelines, and QA frameworks
- Mentor Operations Specialists and contribute to project scoping, pilots, and emerging multimodal AI capabilities
- Work with clients and internal teams to translate AI research needs into reliable 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, are a nice-to-have
Benefits
Comp & perks- Permanent - Regular Full-time employment
- Flexible work arrangements
- Tools, resources, and development opportunities
- Culture of innovation, collaboration, and excellence
- Opportunity to work on complex AI challenges across industries and geographies
- Mentoring and capability-building opportunities