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Map Annotation Jobs in California (NOW HIRING)

Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks. • Academic & Technical Leadership: Publish findings in ...

Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks. • Academic & Technical Leadership: Publish findings in ...

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Map Annotation information

What are the key skills and qualifications needed to thrive in the Map Annotation position, and why are they important?

To thrive as a Map Annotation specialist, you should have excellent attention to detail, spatial reasoning abilities, and familiarity with geographic information systems (GIS) or digital mapping platforms. Proficiency with annotation tools like ArcGIS, QGIS, or proprietary annotation software is often required, and some roles may prefer prior experience or training in cartography or remote sensing. Strong communication, problem-solving skills, and the ability to follow complex guidelines are valuable soft skills in this position. These skills and qualities are vital because accuracy and consistency in annotating map data directly influence the quality of geographic datasets used in applications like navigation, autonomous vehicles, and urban planning.

What does a typical day look like for someone working in Map Annotation?

In a Map Annotation role, your day often involves reviewing and labeling satellite imagery or digital maps using specialized software to identify features like roads, buildings, or natural landmarks. You may work independently or as part of a team, following detailed guidelines to ensure consistency and high accuracy across the dataset. Collaboration with supervisors or quality assurance teams is common to resolve ambiguities and uphold annotation standards. The work is usually computer-based, and you might attend regular meetings to discuss updates to project requirements or annotation protocols. Over time, you can expand your responsibilities by training new teammates or moving into lead annotator or project coordinator roles.

What is a Map Annotation job?

A Map Annotation job involves labeling, tagging, or annotating geographic data to improve the accuracy of digital maps. This can include identifying roads, landmarks, businesses, addresses, and other points of interest. Annotators help train AI and mapping systems by reviewing and verifying location-based information. The role requires attention to detail, spatial awareness, and sometimes familiarity with local geography. These jobs are often remote and may be project-based.

What are the most commonly searched types of Map Annotation jobs in California? The most popular types of Map Annotation jobs in California are:
What are popular job titles related to Map Annotation jobs in California? For Map Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Map Annotation jobs in California look for? The top searched job categories for Map Annotation jobs in California are:
What cities in California are hiring for Map Annotation jobs? Cities in California with the most Map Annotation job openings:
Senior/Staff Software Engineer, ML Data Infrastructure

Senior/Staff Software Engineer, ML Data Infrastructure

Nuro

Mountain View, CA

$193K - $352K/yr

Full-time

Posted 10 days ago


Job description

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

  • Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
  • Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
  • Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
  • Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
  • Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
  • Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
  • Scale data annotation labels with applied State-of-the-art ML techniques

About You

  • You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience
  • Strong proficiency in Python or similar languages
  • Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
  • Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers
  • Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
  • A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points

  • Strong proficiency in C++ or other high-performance low-level languages
  • Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
  • Knowledge of data engineering, and its tooling and best practices
  • Knowledge of batch and streaming data processing, warehousing, and analytics solutions
  • Experience working with large-scale distributed data systems
  • Experience with system & framework design
  • Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.