Founding / Senior Leadership Opportunity Data Labelling & Annotation Experts

Summary Senior Data Labelling \& Annotation Expert - - Interim/ Ad Hoc / Flexible / Full Time Founding / Senior Leadership Opportunity | AI Data \& Annotation Platform Data Scientists - Data Experts - LLM Training - Ai Labs This role pays between USD$300 000 - USD$1 000 000-00 Base Salary Plus Benefits \& Allowances plus Equity , dependent on experience / value add. Location: Global / Flexible Engagement: Full-time, fractional, or advisory depending on experience Seniority: Senior / Principal / Industry Expert Compensation: Highly competitive and commensurate with experience, expertise and contribution plus equity option ***************** About the Opportunity We are building a well-funded, next-generation Data Labelling \& Data Annotation platform designed to provide high-quality data solutions to some of the world's leading AI laboratories, technology companies and major industry players. Our ambition is not to build another commodity annotation operation. We are building a high-end, specialist AI data platform capable of solving some of the most demanding data creation, annotation, evaluation and human-feedback requirements for frontier AI. We are assembling a small, exceptional team of people who understand what genuinely high-quality AI data looks like. We are therefore looking for highly experienced Data Labelling, Data Annotation and AI Data specialists to join us at an early stage and help shape the company, its technology, operating model and client proposition. This is an opportunity to join a team where your expertise will have real influence. Who We Are Looking For We are particularly interested in people who have built their careers at the highest end of the AI data ecosystem. You may currently be working for: A leading AI data labelling or annotation company A major AI training-data provider A frontier AI laboratory A leading technology company A specialist data-services organisation A university or research institution An academic AI/ML research group A specialist consultancy An organisation developing large language models, multimodal AI or agentic systems A self taught genius with the evidence of your expertise We are also interested in academics, AI researchers and domain specialists with deep expertise in creating, curating, evaluating or managing high-quality datasets. We are less interested in conventional "annotation management" experience and much more interested in people who understand how exceptional data can improve the performance of AI models and or key verticals such finance, healthcare, defence, cyber security, etc Areas of Expertise We are looking for senior specialists across one or more of the following: AI \& Machine Learning Data LLM training data Supervised fine-tuning datasets Preference data RLHF / RLAIF Reinforcement-learning datasets Reasoning datasets Human-feedback systems Model evaluation Benchmark creation Synthetic data Data curation Data quality and validation Data provenance Data contamination analysis Multimodal Data Image annotation Video annotation Audio and speech Vision-language datasets Document understanding OCR Spatial understanding Temporal/video understanding Multimodal reasoning Autonomous systems data Specialist / Vertical Expertise We are particularly interested in experts with deep knowledge of specific industries, including but not limited to : Healthcare \& life sciences Pharmaceuticals Financial services Insurance Legal Automotive Robotics Defence \& aerospace Manufacturing Energy Scientific research Engineering Retail \& e-commerce Telecommunications Semiconductors Cybersecurity Enterprise software Deep domain expertise is highly valuable. For many frontier AI applications, the most valuable annotator is not simply someone who can label an image or text — it is someone who understands what the underlying information actually means. The Opportunity As part of our senior team, you may help us: Design next-generation annotation methodologies Build specialist data-creation programmes Develop new approaches to human feedback Establish quality-control frameworks Design expert-review workflows Build specialist annotator networks Develop domain-specific annotation capabilities Create evaluation and benchmarking datasets Develop training-data pipelines for frontier AI models Advise clients on their data strategies Define new AI-data products Develop scalable human-in-the-loop systems Help build our technology platform Recruit and mentor high-calibre data specialists Establish best practices for quality, security and provenance Work directly with leading AI laboratories and technology companies Depending on your background, you may also have the opportunity to lead an entire specialist vertical or build a new business line around your expertise. Why Join Us? This is not intended to be a conventional operational role. You will be joining at a stage where exceptional expertise can materially influence the direction of the company. We are deliberately building a high-calibre team rather than a large organisation. You will work alongside people with significant experience across AI, data, technology, research and commercial development. The company has substantial backing from experienced investors and industry participants, including backers with interests and relationships across leading companies in the AI and data ecosystem. We have ambitious plans to work with leading AI laboratories and major technology and industrial organisations globally. Your contribution will matter. We want people who can bring something distinctive: Deep technical knowledge Unique industry expertise Existing relationships Proven operational capability Academic or research expertise Experience working with frontier AI teams Knowledge of difficult data problems Experience building annotation programmes at scale New ideas about how AI data should be created Or the ability to solve problems that conventional data providers cannot Seniority \& Compensation We recognise that exceptional people have different motivations and circumstances. For the right individuals, we are prepared to structure roles appropriately around: Competitive senior-level compensation Performance-related compensation Leadership responsibility Advisory arrangements Flexible or fractional involvement Equity participation where appropriate Opportunity to build and lead specialist divisions Compensation will be commensurate with the expertise, network, responsibility and value that you bring to the company. We are particularly interested in people who have the capability to become key members of the founding team, rather than simply employees executing an established process. What Would Make You Stand Out? You may be particularly suited to this opportunity if you can say: "I know what world-class AI data looks like." Or: "I have built or managed large-scale annotation programmes for leading AI companies." Or: "I understand the data requirements of frontier models." Or: "I am a recognised expert in a domain where AI companies need high-quality expert data." Or: "I know how to recruit, manage and quality-control highly specialised human experts." Or simply: "I have an idea for how the AI data industry should be doing this differently." We want to hear from you. Confidentiality \& Integrity Because we expect to work with highly sensitive commercial and technical information, we place significant importance on: Confidentiality Data security Intellectual-property compliance Provenance Ethical data practices Client confidentiality Regulatory compliance . We are interested in your expertise and experience. The Bigger Vision The AI industry is entering a period where high-quality data is becoming one of the most important strategic assets in AI development. The next generation of models will require increasingly sophisticated: training data → expert data → preference data → reasoning data → multimodal data → evaluation data → human feedback → domain-specific intelligence. We intend to build a company capable of delivering that infrastructure to the world's leading AI organisations. If you want to help build that company from an early stage, we would like to hear from you. Apply / Express Interest Please send a CV, LinkedIn profile and a detailed description of your background and areas of expertise. We are particularly interested in hearing from exceptional people who may not fit a conventional job description. If you believe you can make a significant contribution to building a world-class AI data organisation, we would like to have a conversation.