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Remote Map Annotation Jobs in Oregon (NOW HIRING)

Remote Map Annotation information

What is a remote map annotation?

A remote map annotation job involves identifying, labeling, and categorizing objects or features on digital maps using specialized software. Workers may annotate roads, buildings, natural features, or other points of interest to help train artificial intelligence or improve map accuracy. These jobs are typically performed from home, require good attention to detail, and may not require advanced technical skills. Many companies in the fields of autonomous vehicles, GIS, and location-based services employ remote map annotators.

What are the key skills and qualifications needed to thrive as a remote map annotation specialist?

To thrive as a Remote Map Annotation Specialist, you need strong spatial awareness, attention to detail, and a background in geography, GIS, or related fields. Familiarity with GIS software, digital mapping platforms, and annotation tools is typically required, along with experience in data labeling or image analysis. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration and meeting project deadlines. These skills ensure accurate, high-quality map data that supports navigation, geospatial analysis, and location-based services.

What are the biggest challenges faced by remote map annotation professionals, and how can they be addressed?

Remote map annotation professionals often encounter challenges such as maintaining accuracy while labeling complex geographic features and managing large volumes of data with tight deadlines. Working remotely may also lead to communication gaps with team members or project managers. To address these challenges, it's important to establish a clear workflow, regularly check in with the team, and utilize quality assurance tools and documentation. Proactively asking for clarification and participating in training sessions can also help ensure consistency and high-quality results.

What is the difference between Remote Map Annotation vs Remote Data Labeling?

AspectRemote Map AnnotationRemote Data Labeling
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentMapping platforms, GIS toolsVarious data types, software tools
Industry UsageMapping, autonomous vehicles, GISAI training, machine learning, computer vision
Search & Comparison IntentUnderstanding mapping-specific tasksUnderstanding AI data preparation

Remote Map Annotation involves labeling geographic features for mapping and GIS applications, often requiring knowledge of mapping tools. Remote Data Labeling covers a broader range of data types for AI training, including images and text. While both roles require attention to detail and basic computer skills, Remote Map Annotation is specialized for geographic data, whereas Remote Data Labeling applies to various data formats used in AI development.

What are popular job titles related to Remote Map Annotation jobs in Oregon?

For Remote Map Annotation jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Remote Map Annotation job openings in Oregon as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Senior Software Engineer, Digital Twin Platform

OR • On-site, Remote


Instacart
Technology, Communication and Media • 10K+ employees

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies

People enjoy working here

Recommended by students

Recommended by parents


$122K - $161K/yr

Full-time

Posted 7 days ago


Job description

Overview

The Digital Twin Platform team at Instacart is responsible for understanding exactly what is on store shelves at all times. Inventory estimates power some of the most important product experiences at Instacart, from search and advertising to logistics and fulfillment. We own the end-to-end data supply chain - from ingestion and integration of partner data sources to collecting inventory observations, to model development, serving, and integrations across our products.

We are looking for a highly motivated Senior Software Engineer to join our team. You will be instrumental in building our next generation platforms for understanding where products are in a store - think: platforms that provide the precision and depth of a smart warehouse but scaled to every local store. In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale while driving new product innovation.

This is a chance to roll up your sleeves with a team that goes far together, solves creatively, and grows the pie by making the entire grocery ecosystem more efficient. We move quickly, work through ambiguity, and focus on delivering real impact for our customers, shoppers, retailers, and the broader business.

You can read more about some of the things our team is doing here: democratizing AI for grocers of all sizes and advancing real-time shelf intelligence.

About the Job
  • Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across our network.
  • Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin.
  • Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
  • Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long-term architectural quality.
  • Contribute to a culture of ownership and continuous improvement, where we serve our users generously, put ideas on the table with transparency, and go far together as a team.
About YouMinimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 5+ years of software engineering experience designing, building, and operating large-scale production systems.
  • Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL.
  • Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure.
  • Track record of shipping production software with a focus on reliability, testing, observability, and maintainability.
Preferred Qualifications
  • Experience with machine learning infrastructure, computer vision, image-based data pipelines, or annotation platforms.
  • Experience with real-time, streaming, or geospatial services and systems in production.
  • Experience building data-intensive products in e-commerce, retail, logistics, or grocery.
  • Experience with edge devices, IoT, or hardware-software integration.
  • Familiarity with data processing frameworks such as Spark, Kafka, or Airflow.

#LI-Remote


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

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