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Remote Map Annotation Jobs in New Jersey (NOW HIRING)

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Remote Map Annotation information

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 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 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 New Jersey? For Remote Map Annotation jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Map Annotation jobs in New Jersey look for? The top searched job categories for Remote Map Annotation jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Map Annotation jobs? Cities in New Jersey with the most Remote Map Annotation job openings:
Remote Map Annotation jobs near you
Infographic showing various Remote Map Annotation job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 23 days ago

Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.