{"id":842417,"url":"https://alion.io/job/endwaste-computer-vision-data-engineer-fully-remote-usd-latin-america-based","title":"Computer Vision DATA Engineer - Fully Remote USD - Latin America based","company":{"id":693252,"name":"Glacier","domain":"endwaste.io","url":"https://alion.io/company/endwaste","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":{"label":"PT","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":49,"salary":{"min":2000,"max":3500,"currency":"USD","period":"month","gross":null,"usd_annual":42000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"DVC","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true},{"name":"CVAT","optional":true},{"name":"Django","optional":true},{"name":"FastAPI","optional":true},{"name":"JavaScript","optional":true},{"name":"Label Studio","optional":true},{"name":"Next.js","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-07-27T21:49:48Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-11-10T07:25:04Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":105},"description":"This role is FULLY REMOTE from Latin America - Pacific Time zone\nHey, we're Glacier! A Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.\nGlacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity.\nFrom major CPG companies like Colgate and Amazon to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one ofTIME's Best Inventions andfeatured in a TIME documentary,TechCrunch,Fortune, andCBS.\nHere's where your expertise comes into play:\nWe're looking for a talented computer vision data engineer to own the data layer that powers our computer vision models. Great models start with great data, and you'll build the datasets, pipelines, and internal tools that let our ML team move fast and train on high-quality, well-curated data. This is a strong fit for someone who loves building software and internal tools as much as working with data..\nYour responsibilities:\nOwn our image and video dataset lifecycle: taxonomy, curation, collection workflows, and quality, so our models train on clean, well-structured, error-free data.\n\nDesign and maintain the data pipelines that move, transform, version, and sync our datasets (e.g. DVC, annotation platforms, cloud storage).\n\nBuild internal tools and software that make dataset creation, labeling, and curation faster and more reliable for the ML and labeling teams.\n\nCoordinate closely with our labeling team to ensure data is well curated, consistently annotated, and error-free.\n\nImprove how we collect and prioritize training data over time, including model-assisted and active-learning approaches.\n\nRequirements:\n2+ years of Machine Learning experience\n\n2+ years building software applications or internal tools, with strong expertise in Python.\n\n2+ years of experience working with image or video datasets.\n\nHands-on experience designing and maintaining data pipelines (ETL/ELT, workflow orchestration, data versioning).\n\nStrong SQL and experience working with structured data.\n\nEnglish fluency, as you'll be working with a US-based team (B2 or higher).\n\nNice to have:\nComputer vision background or experience supporting CV/ML teams.\n\nWeb application development (React + Django, Nextjs)\n\nExperience with annotation platforms (Supervisely, CVAT, Label Studio) and data versioning tools (DVC).\n\nExperience with cloud storage (S3) and building backend services (FastAPI).\n\nExperience integrating open-source tooling and contributing to internal platforms.\n\nExperience working with US companies or clients.\n\nCompensation & Benefits\n$2,000-$3,500 per month/depending on your experience and interview performance\n\n15 Days Paid Time Off + your National Holidays\n\n$500 for your remote set up + $100/mo for your wellness\n\nWhy Join 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