Data Operations Lead

Data Operations Lead ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Data is in our DNA at Halter, and represents one of our highest leverage assets for delivering value to farmers and ranchers. The performance of Halter’s predictive models are hugely dependent on the quality ground truth data backing them. As such, we’re building a dedicated machine learning Data Operations function to own the full lifecycle of ground truth datasets: from collection of measurements with wide geographic diversity, through to annotation, and quality control—so that our ML teams can innovate with urgency, and ship reliable, high‑impact capabilities to farmers. WHAT YOU’LL DO You will design, build, and run repeatable, scalable ground-truth dataset building pipelines. The work blends operational leadership, data quality governance, and close partnership with ML engineering. GROUND TRUTH PROGRAMME OWNERSHIP - Own end-to-end ground truth programmes: define collection methodology, sampling strategy, annotation guidelines, review flows, and delivery milestones from concept to “model-ready” datasets. - Partner with ML engineers/researchers to translate model needs into label schemas, taxonomies, and measurable acceptance criteria (what “good” looks like). ANNOTATION OPERATIONS AND QUALITY CONTROL - Facilitate and execute plans to annotate data, using guidelines from client machine learning teams. - Build a quality control system to enable effective distribution of work, while maintaining high label quality. - Establish scalable QA processes that catch label noise early and reduce rework and downstream model risk. DATASET STRUCTURE, STEWARDSHIP, AND LIFECYCLE MANAGEMENT - Define dataset standards: metadata, versioning, provenance/lineage, update cadence, and “dataset contracts” for ML consumption. - Build lightweight but robust tooling and documentation so datasets are discoverable, reproducible, and safe to use. WORKFORCE AND VENDOR MANAGEMENT - Stand up flexible labour capability for collection/annotation—including vendor selection, onboarding/training, QA enforcement, throughput planning, and performance management. WHAT SUCCESS LOOKS LIKE In the first several months, this role is about building the machine—not only doing the work. - With ... (truncated, view full listing at source)