Data Operations Lead

Data Operations Lead DataSeeds.AI provides rights-cleared, multimodal training data for AI developers and robotics companies, spanning image, video, and audio, as well as egocentric and exocentric (first-person and third-person) capture. We offer off-the-shelf datasets and on-demand collection, all enriched with detailed metadata, along with annotation and model evaluation services that complete a full data stack for AI training. Backed by our global network of more than 20 million creators and multiple production hubs worldwide, DataSeeds.AI delivers diverse, high-quality content at speed and scale. DataSeeds.AI is part of Zedge, Inc. (NYSE American: ZDGE), which operates a portfolio of digital platforms. These include Zedge, a leading marketplace for phone personalization content such as wallpapers and ringtones, and GuruShots, a global photography community that serves as the quality engine behind DataSeeds.AI's image data. We’re looking for a hands-on Data Operations Lead to own and scale end-to-end data collection operations across images, video and audio. This role is responsible for delivery, quality, vendors, and timelines. What You’ll Do Own the end-to-end data collection process, from planning and briefing to final delivery. Lead large-scale data collection across images, video, audio Manage and coordinate international contributors, freelancers, and local partners in a fully remote setup. Execute rapid, cost-efficient data collection initiatives under tight timelines. Oversee vendors, budgets, schedules, and quality control. Ensure all delivered datasets meet defined technical specifications and client requirements. What We’re Looking For 5+ years of experience in data operations, or similar roles. Proven experience managing large-scale, multi-region data or content collection projects. Strong vendor and budget management experience. Ability to run multiple projects in parallel and deliver under tight timelines. High attention to detail and strong quality standards. Excellent communication skills and experience working with remote, cross-functional teams. Experience working with datasets for AI/ML use cases. Familiarity with data labeling, annotation workflows, or content moderation pipelines. Experience working with external data vendors and marketplaces.