{"id":429066,"url":"https://alion.io/job/relari-data-operations-lead","title":"Data Operations Lead","company":{"id":183616,"name":"Relari","domain":"relari.ai","url":"https://alion.io/company/relari","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Administrative","role_family":"Administrative","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[],"status":"live","first_seen_at":"2026-09-06T05:34:57Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-25T19:37:41Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"About the role\nYou will own the end-to-end operation behind our scaled human-data collection. You will translate research needs into collection procedures, coordinate external data-collection partners across time zones, keep equipment and uploads moving, and ensure that accepted data meets a consistent technical standard. This is a hands-on systems role for someone who can move between people, logistics, data quality, and process design.\nWhat you’ll do\nTranslate research requests into clear collection specifications, operating procedures, and acceptance criteria.\nManage the day-to-day relationship with external collection vendors and close the loop on quality and throughput.\nCoordinate EMG kits, cameras, consumables, shipping, inventory, and other collection supply-chain needs.\nOwn data-upload completion, sampling, QA, rejection, re-collection, provenance, and delivery into research storage.\nBuild simple dashboards and operating rhythms around throughput, cost, failure modes, and dataset readiness.\nPartner with biomechanics, hardware, and robot-learning researchers as protocols and priorities evolve.\nWhat we’re looking for\nExceptional operational judgment, attention to detail, and follow-through across multiple moving workstreams.\nExperience managing vendors, distributed operations, research operations, data production, logistics, or another high-reliability process.\nStrong written communication and the ability to turn technical requirements into procedures other people can follow consistently.\nComfort working across time zones and traveling to collection or manufacturing partners when useful.\nComfort working with structured data, spreadsheets, dashboards, storage systems, and unfamiliar technical tools.\nA systems mindset: you look for recurring causes and improve the process rather than repeatedly fixing individual mistakes.\nWorking at Relari\nRelari is a small research and engineering startup developing new ways for robots to learn dexterous skills from human biomechanics. Our founders have AI research roots at MIT and NVIDIA, along with autonomous-vehicle and robotics deployment experience at Pony AI and Dexterity. We are backed by top investors including Y Combinator, General Catalyst, and Soma Capital. You will work directly with the founders, own problems end to end, and test your ideas on real robotic systems. 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