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.
Requirements: 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.
This position is open to all candidates.