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Map Annotation Jobs in Akron, OH (NOW HIRING)

Map Annotation information

What skills and qualifications are needed for map annotation?

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 map annotation do?

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?

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 popular job titles related to Map Annotation jobs in Akron, OH? For Map Annotation jobs in Akron, OH, the most frequently searched job titles are:
What job categories do people searching Map Annotation jobs in Akron, OH look for? The top searched job categories for Map Annotation jobs in Akron, OH are:
What cities near Akron, OH are hiring for Map Annotation jobs? Cities near Akron, OH with the most Map Annotation job openings:

Technical Product Manager - Clinical Genomics

Socket.dev

Cleveland, OH • On-site

$140 - $200/hr

Other

Posted 2 days ago

New


Job description

Summary

GenomOncology builds the software that clinical and molecular laboratories use to interpret

next-generation sequencing (NGS) results and generate reports that oncologists and

geneticists use to guide patient care.

This role owns product capabilities from discovery through deployment, working with

customers (lab directors, molecular pathologists, or bioinformaticians) to understand their

needs and translate into precise specifications that our product development team can build

– overseeing the entire process: Design, Development, Testing, Deployment, and Support.

You'll balance clinical correctness, usability, technical complexity, and implementation effort

to arrive at solutions that deliver value for both our customers and our platform. You are the

person who understands both the science and the software well enough to bridge the gap

between them.

This is a senior, high-leverage position. You will not be writing production code or executing a

predefined checklist. You will be figuring out what should be built and how it should behave, in

a domain where the “right answer” is often something you must reason your way to. This is a

hands‑on product role: you'll live in the specifications and acceptance criteria, not just the

roadmap.

This role is ideal for someone who enjoys untangling complex technical and scientific

problems, works comfortably across engineering and clinical domains, and wants to define

how software behaves rather than implement the code itself.

Essential Responsibilities
  • Designing new product capabilities for complex clinical genomics workflows where existing software patterns often don't apply. Variant interpretation logic, clinical report structure, knowledge representation, interoperability with EHRs and lab systems. Areas where there’s rarely an off-the-shelf pattern to copy.
  • Sitting with clients (lab directors, pathologists, bioinformaticians) to understand what they truly need, which is usually different from what they first ask for, and translating that into specifications that engineering can build without guessing.
  • Owning product requirements throughout the feature lifecycle—from customer discovery and design through validation, release, and post‑deployment refinement.
  • Reasoning about complex data end to end: what comes out of a sequencing pipeline, how it should be annotated, filtered, interpreted, and rendered, and where the edge cases hide.
  • Writing precise specifications and automated validation tests that pin down exactly how a feature must behave, including the cases everyone else forgets.
  • Making judgment calls on ambiguous problems and defending them, then adjusting when the evidence says you’re wrong.
  • Coordinating troubleshooting across product and operations teams when something behaves unexpectedly across our client deployments.
  • Mentoring junior members of the team and raising the technical bar of the team.
Who we’re looking for
  • Genetics fluency. A working knowledge of genetics. You should be comfortable with variants, nomenclature, and how genetic findings map to clinical meaning.
  • Bioinformatics literacy. Enough understanding of sequencing pipelines and genomic data (alignment, variant calling, annotation, the shape of a VCF file) to reason confidently about the data, even though you won’t be building pipelines yourself.
  • Software development process, from the design side. You’ve worked inside a real SDLC and can write specifications, define test cases, think in systems, and collaborate with engineers as a peer. Again: this is a design and architecture role not a developer role, but you must be able to speak the language.
  • Raw problem‑solving ability. You pick up unfamiliar technical domains fast, reason from first principles when there’s no playbook, stay productive in ambiguity, and can hold a complicated system in your head and identify the details that matter.
  • Systems thinking. Able to understand complex interactions across laboratory workflows, genomic data, clinical interpretation, software architecture, and user experience, and design solutions that work as a coherent whole.
Nice to have
  • Exposure to clinical genomics software, especially tertiary analysis of tumor sequencing or hereditary NGS
  • Familiarity with variant interpretation frameworks (AMP/ASCO/CAP, ACMG) or knowledge‑base curation.
  • Any regulatory exposure (CLIA/CAP, FDA) relevant to clinical software.
What this role is not
  • It is not a software development position: you won’t be writing or maintaining production code.
  • It is not a business analyst role where requirements are simply documented. You'll be expected to shape product behavior, resolve ambiguity, and make informed technical and clinical design decisions. The role involves both strategic judgement as well as hands‑on product work and highly technical detail.
Education
  • PhD or Master’s Degree in a relevant field is desired
  • Equivalent combinations of education and relevant experience will also be considered
Experience
  • 5+ years of experience in application implementation, solution design, software
  • configuration, business analysis, quality assurance, technical consulting, or customerfacing technical (non‑coding) roles within an SDLC environment.
  • Experience owning product requirements throughout the feature lifecycle—from
  • customer discovery and design through validation, release, and post‑deployment
  • refinement.
  • Experience in clinical diagnostics, molecular biology, genomics, healthcare software,
  • or laboratory information systems.
Physical Requirements
  • Prolonged periods of sitting and typing on a computer
  • Utilizing technology for communications
Work Conditions
  • Clean, quiet office
  • Remote hybrid
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