{"id":42595,"url":"https://alion.io/job/simbe-robotics-data-engine-annotation-systems-engineer","title":"Data Engine & Annotation Systems Engineer","company":{"id":8498,"name":"Simbe Robotics","domain":"simberobotics.com","url":"https://alion.io/company/simbe-robotics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":120000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"Computer Vision","optional":false},{"name":"CVAT","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"Roboflow","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-08-05T21:04:54Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-16T21:01:58Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.\nSimbe is looking for a Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond annotation coordination. You will help build the data engine behind Simbe's AI platform: model assisted labeling, data quality checks, annotation guidelines, error mining, dataset versioning, active learning, and evaluation workflows that improve model performance and accelerate customer value.\nWhy This Role Is High Impact\nYou will help create the feedback loop that makes Simbe's AI systems better every week.\nYou will improve the quality, speed, and reliability of data used to train and evaluate production models.\nYou will work across human annotation, automation, model outputs, QA, and customer impact.\nResponsibilities\nOwn annotation systems and workflows. Oversee and improve image and video annotation workflows, including task setup, guideline creation, quality control, edge case handling, and throughput monitoring.\nBuild data engine tooling. Develop Python, web, and automation tools that make it easier to request annotations, review results, clean data, export datasets, and evaluate model performance.\nImprove data quality. Design checks that identify inconsistent labels, oversized or undersized boxes, missing annotations, duplicate data, class imbalance, and other issues that can degrade model performance.\nIntegrate model assisted workflows. Evaluate and integrate auto annotation, pre labeling, active learning, hard case mining, and model in the loop review systems to improve annotation efficiency.\nSupport dataset versioning and evaluation. Partner with CV engineers to maintain reliable datasets, evaluation splits, benchmark views, and release readiness workflows.\nCoordinate across teams. Work with annotation teams, Computer Vision, Product, Customer Success, and Data teams to make sure annotation systems support current customer priorities and future product needs.\n Measure and improve performance. Track annotation quality, turnaround time, capacity, cost, rework rates, and model impact to improve the operating system for data creation.\nRequired Qualifications\n3+ years of experience in software engineering, data tooling, ML data operations, annotation systems, data QA, or related technical work.\nStrong Python skills, including experience building scripts, data workflows, APIs, or internal tools.\nComfort with Bash, Linux, Git, and production debugging workflows.\nExperience with web frontend or full stack development for internal tools.\nStrong communication skills and ability to create clear annotation guidelines, documentation, and process improvements.\nHigh attention to detail and a strong understanding of how data quality affects model quality.\nAbility to coordinate across technical and operational teams while still writing code and improving systems.\nBonus Qualifications\nExperience with CVAT, FiftyOne, Labelbox, Scale, Roboflow, Supervisely, or similar annotation and dataset tools.\nExperience with image, video, robotics, retail, autonomous vehicle, industrial inspection, or sensor data annotation.\nExperience with active learning, auto labeling, synthetic data, evaluation dashboards, or dataset versioning.\nExperience with object detection, segmentation, OCR, barcode localization, or other computer vision workflows.\nExperience managing external annotation vendors or distributed annotation teams.","description_format":"text","description_chars":3950,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Commercial Robotics","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-08-05T21:04:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":160000,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green 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