Strategic Project Lead - Multimodal AI (United States)

About the Role
The Strategic Project Lead – AI Post-Training will help lead AI companies develop and improve frontier models through high-quality data programs. We’re looking for someone with experience in AI post-training, preference data, or model evaluation to lead projects that shape how models respond, reason, and perform. 
You’ll own delivery while bringing practical knowledge of the data, evaluation methods, and quality standards behind model improvement. Working closely with clients and internal teams, you’ll help translate evolving AI research needs into clear workflows, reliable datasets, and measurable outcomes.

Your 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 your 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.

What You Bring

- 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 the ability to manage multiple priorities in a fast-moving environment.

- 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.

- 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.

Why You'll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.