• Perform quality audits on annotated datasets to ensure that they meet established guidelines and quality benchmarks. • Leverage statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality. • Analyze annotation errors, trends, project processes, and documentation to identify and understand the root cause of errors and propose remediation strategies. • Resolve and analyze edge-case annotations to ensure quality and identify areas for improvement. • Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures. • Provide regular feedback that identifies areas for improvement across the annotation pipeline. • Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines. • Assist with training annotators, providing guidance and support to ensure data quality.

• Perform quality audits on annotated datasets to ensure that they meet established guidelines and quality benchmarks. • Leverage statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality. • Analyse annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies. • Resolve and analyse edge-case annotations to ensure quality and identify areas for improvement. • Become proficient in using annotation and quality control tools to perform reviews and track quality metrics. • Become an expert in the project specific guidelines and provide feedback for potential clarifications or improvements. • Identify opportunities to use automation to help enhance analytics, provide deeper insights, and improve efficiency. • Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures. • Provide regular feedback that identifies areas for improvement across the annotation pipeline. • Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines. • Assist with training annotators, providing guidance, feedback, and support to ensure data quality. • Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.

• Create AI-generated images for the product, landing pages, presentations, and brand materials. • Work with various AI models and write and optimize prompts to achieve the desired visual results. • Build and optimize AI workflows for creating visual content (generation, upscaling, editing). • Refine AI-generated images (retouching, compositional adjustments, adapting to different formats). • Analyze references, styles, and mood boards to create lifestyle scenes and product content. • Research new AI tools and approaches and integrate them into workflows. • Collaborate with the design team, creative team, and 3D specialists to produce visual content.

• You will lead the product organization responsible for the models, data systems, and decisioning infrastructure. • Reporting to the Chief Product Officer, you will partner closely with the CTO, Chief Risk Officer, and CEO. • Lead a team of senior product managers and work closely with engineering, data science, and risk teams.