{"id":104549,"url":"https://alion.io/job/waabi-software-engineer-labelling-data-automation","title":"Software Engineer, Labelling, Data & Automation","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":66,"ghost_share":0,"stale_share":0.106,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","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":["Toronto, Canada","San Francisco, United States","Pittsburgh, United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":157000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":79},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CloudFormation","optional":true},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-04-22T19:59:39Z","employer_posted_date":"2026-04-22","last_verified_at":"2026-10-17T16:51:52Z","board_verified":true,"closed_at":null,"days_open":177,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":177},"description":"As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.\nYou will..\nDesign and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. \nOwn the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected\nBuild high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system\nWork with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects\nDesign and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement\nDeploy open-set / embedding models to our production environment - empowering new search and curation modalities\nChampion engineering excellence, ensuring high-quality, well structured, and tested code.\nContribute to project roadmap planning, prioritization, and delivery.\nQualifications:\n4+ years of industry experience.\nBachelor's in computer science, engineering, machine learning, or a related technical discipline.\nProficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. \nA willingness and ability to learn new skills, technologies, and software libraries as required. \nStrong experience with data pipelines for large-scale processing and analysis.\nStrong communication and organizational skills \nUnderstanding of cloud job orchestration, monitoring, and instrumentation best-practices.\nOpen-minded and collaborative team player with the willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\nBonus Points:\nExperience with ML pipelines, including dataset curation, labelling, training and evaluation. \nPrevious experience in self-driving technology or related fields.\nFamiliar with linear algebra (projections, transforms) and 3D geometry.\nExperience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).\nExperience with with front end development\nExperience working with open-set / embedding models and deploying them in a production setting\nExperience working with infra as code (Terraform, CloudFormation, etc)","description_format":"text","description_chars":3043,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"},{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-04-22T19:59:39Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.707,"p_room":0.44,"age_days":177,"expected_fill_days":150,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/waabi-software-engineer-labelling-data-automation","json_url":"https://alion.io/job/waabi-software-engineer-labelling-data-automation.json","meta":{"generated_at":"2026-10-17T17:32:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24098,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4483},"rest":"https://alion.io/mcp/rest/get_company?id=4483"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwaabi-software-engineer-labelling-data-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwaabi-software-engineer-labelling-data-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwaabi-software-engineer-labelling-data-automation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/waabi-software-engineer-labelling-data-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwaabi-software-engineer-labelling-data-automation"}]}