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Strategic Project Lead - Multimodal AI (London)

Role overview

Qualifications

  • 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.

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.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Detail Oriented

About the company

appen logo

appen

  • AI & Machine Learning
  • Scaleup
  • 501–1,000
We help our clients enhance their best-in-class products and services around the world, including search engines, social media platforms, voice recognition systems, sentiment analysis, and eCommerce sites. All of that wouldn’t be possible without our team of more than 1 million flexible workers. The world of tech is moving fast, and we help our clients meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer. Remote work is changing how the world does business, and we’re proud to be pioneers in the movement. If you’re looking for a work-from-home opportunity, join us! At Appen, our team is an international force to be reckoned with. Operating in over 130 countries and working in more than 180 languages and dialects, we support the work of some of the world’s top technology companies. With Appen, you’ll get to work on innovative projects and grow your skills – all on your own schedule. Please be aware that Appen recruiters will only reach out to you via official channels (e.g., directly from @appen.com email addresses, or through our recruiters who are noted as such on LinkedIn). If you have suspicions about an interaction, ask for official email communications from an @appen.com. We will never ask you to send money to apply or start a job with us. We will also never send a check in advance. We will never ask you to send personal identifiable information outside of our secure job site, Appen Connect. All job applications should be submitted through our Jobs page to the applicable site.

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Job description

About the Role

The Strategic Project Lead – Multimodal AI supports frontier AI development through complex, high-quality data programs for leading AI companies. We’re looking for someone with experience in multimodal AI data, such as image, video, 3D, sensor, or robotics-related workflows. 

You’ll lead projects that turn complex real-world data into reliable training and evaluation resources. Combining project management with hands-on domain knowledge, you’ll partner with clients and internal teams to design workflows, maintain quality, and solve challenging data delivery problems in a rapidly evolving AI market. 


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.

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