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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.
What 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.

You will be part of the Data Collection Group, a diverse team of Integration Engineers, Technical Data Managers, Data Analysts, and Product Managers. Our group is responsible for the entire data lifecycle - from initial requirement definition to the final delivery of high-quality data to our internal customers in Algorithm teams, Product, and Project Management. In this role, you will ensure our data is precise, reliable, and meets the specific needs of our development teams, in addition to analyzing, checking and building platforms for users to access data.
What will your job look like?
Partner with internal stakeholders (Algorithm and Product Managers) to define data needs and translate them into structured collection plans and catalogs.
Lead data projects from the planning stage through execution, coordinating with our driving teams, to final delivery.
Build and maintain clear dashboards using BI tools to monitor data quality, validity, and delivery progress in real time.
Perform deep-dive research into various data components to identify and resolve anomalies, gaps or bottlenecks in our data pipelines.
Improve processes by innovation and outside-the-box thinking, applying AI-driven tools to build creative MVPs and POCs that automate workflows and solve various challenges.
Implement high standards for data validation, proactively identify trends, and raise "red flags" to stakeholders when data quality drops.