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Full-time
bachelor degree
Posted 58d ago
~40 hrs/week
Responsibilities
Manage and optimize high-quality data labeling workflows for REM production programs and mapping products. Collaborate with cross-functional teams and offshore engineers to ensure annotation accuracy, efficiency, and alignment with technical specifications.
Requirements
Requires a relevant degree in engineering, computer science, GIS, or data science with strong analytical skills. Must be proficient in English and comfortable using mapping tools, spreadsheets, and data quality concepts.
Full job description
High-quality labeled data for REM production programs and our mapping products and tools. We run an operation that deploys labeling for production-scale projects, applies high-standard quality assurance, and then manages and consumes large volumes of data end to end - from annotation through delivery into mapping pipelines.
\nWhat will your job look like:
Support ongoing annotation work for REM production programs and mapping deliverables, keeping day-to-day labeling aligned with specs and priorities.
Analyze issues and drive fixes in labels, guidelines, tooling gaps, and vendor output so root causes are addressed
Own and improve quality and efficiency of annotation workflows (QA, rework, throughput) without trading accuracy for speed.
Collaborate across teams - product, mapping, algorithms, operations, and vendors—to align requirements, timelines, and acceptance criteria.
Understand REM technology and real-world map behavior so annotations reflect how roads, lanes, and scene context behave in actual driving.
Work with map and imagery data from many regions (countries, cities, and driving cultures) and keep labeling consistent across geographies.
Run continuous project reviews and produce clear, regular reports on status, risks, quality, and delivery.
Meet project KPIs for label quality, coverage, and schedule
Train and coach offshore annotation engineers on REM concepts, tools, edge cases, and quality expectations.
Interpret complex driving scenes via maps and related data and turn that understanding into practical guidance, specs updates, and scalable solutions for the labeling team.
All you need is:
A relevant degree (e.g. engineering, computer science, geography/GIS, data science, industrial engineering, or a related field).
Strong analytical skills and a detail-oriented mindset; comfortable validating scenarios, metrics, and edge cases.
Solid learning agility; able to absorb REM/mapping concepts, tools, and changing guidelines quickly.
Excellent English, written and verbal, for specs, vendor communication, training, and reporting.
Strong technical skills - comfortable with annotation/mapping tools, data quality concepts, and structured ways of working (spreadsheets, Jira, basic scripting or SQL are a plus).
Ability to prioritize and stay effective when multiple stakeholders and deadlines compete in a fast-paced environment.
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Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis.
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility.
Offices: 1 Shlomo HaLevi, West Jerusalem, Jerusalem District, IL · 25301 Dequindre Rd, Madison Heights, Michigan 48071, US · La Piazzola 6F, 2-9-3 Higashi-Shinbashi, Minato-ku, Tokyo, 105-0021, JP · Lütticher Straße, 132, Düsseldorf, North Rhine-Westphalia 40547, DE