Director of Datasets

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🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

👔 Director

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Side

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🛍️ eCommerce

🏪 Marketplace

🛒 Retail

eCommerce • Marketplace • Retail

Side is

📋 Description

• Define and execute the long-term strategy for Side’s Datasets business. • Identify opportunities to expand beyond speech datasets into new collection services, including image, video, multimodal, transcription, annotation and other AI training data. • Evaluate emerging technologies, methodologies and market trends to ensure Side remains competitive. • Help shape investment priorities, capability development and future service offerings. • Support diversification of the client portfolio across technology, AI and adjacent industries. • Lead solution design for complex client requirements across bespoke dataset collection projects. • Develop scalable methodologies for global data collection programmes involving professional talent, crowdsourced contributors, partner studios and distributed workforces. • Identify the most appropriate collection platforms, tooling, technologies, payment methods and workflows for each engagement. • Collaborate with Production, Legal and other business units to ensure practical and commercially viable delivery models. • Define best practices for quality assurance, validation, metadata, rights management and delivery standards. • Act as the subject matter expert for dataset pricing, costing and commercial strategy. • Develop pricing frameworks covering a wide range of dataset collection methodologies and licensing models. • Support Sales and Solutions teams during client discovery sessions, proposal development and contract negotiations. • Evaluate project scope, assumptions, commercial risks and resource requirements. • Advise leadership on market pricing, competitive positioning and new commercial opportunities. • Serve as a trusted adviser during client discussions involving AI training data and dataset collection. • Translate complex technical requirements into practical, scalable delivery solutions. • Build trusted relationships with AI companies, technology organisations, publishers and enterprise clients. • Demonstrate Side’s expertise and capabilities throughout the sales process. • Lead and develop the global Datasets team. • Provide coaching, mentoring, performance management and career development. • Establish KPIs and operational objectives aligned with business growth. • Develop scalable internal processes that support efficient delivery across multiple collection types and global regions. • Foster collaboration across Audio, QA, Player Support and other business units. • Represent Side as a recognised authority within the AI datasets and data collection industry. • Monitor developments in AI model training, synthetic data, multimodal datasets, crowdsourcing platforms and data licensing. • Identify opportunities to introduce new methodologies that improve quality, efficiency, scalability and commercial competitiveness. • Contribute to Side’s positioning as a premium global provider of high-quality AI datasets.

🎯 Requirements

• At least five years’ experience within datasets, machine learning or AI data collection, data operations or a related industry. • Proven experience leading large-scale dataset collection programmes across multiple markets or languages. • Strong understanding of AI training data requirements and collection methodologies. • Experience designing scalable operational workflows for global data collection projects. • Demonstrated commercial experience, including pricing, estimation, proposal development and client solutioning. • Experience working directly with enterprise or technology clients. • Strong understanding of legal, licensing, consent and rights management considerations relating to dataset collection. • Experience leading multidisciplinary teams and collaborating across global organisations. • Experience across multiple dataset types, including speech, image, video, transcription, annotation, multimodal or synthetic data. • Experience with both professionally managed and crowdsourced collection models. • Strong knowledge of data quality assurance, validation, metadata and delivery standards. • Commercially minded, with strong analytical and problem-solving skills. • Confident presenting complex solutions to senior stakeholders and clients. • A strategic thinker capable of balancing innovation with operational delivery. • Passionate about AI technologies and emerging market trends. • Highly autonomous, collaborative and proactive.