Eden Prairie, MN · On-site
$145K - $190K/yr
... imaging data. - UI/UX for clinical workflows (capture, review, annotation, export). - Device ... Vision Software Engineers (algorithms, image processing), Vision Systems Engineers (hardware ...
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Eden Prairie, MN · On-site
$145K - $190K/yr
... imaging data. - UI/UX for clinical workflows (capture, review, annotation, export). - Device ... Vision Software Engineers (algorithms, image processing), Vision Systems Engineers (hardware ...
$93K - $127K/yr
... annotation and synthetic data * Drive independent technical decisions on chunking strategy ... Partner with engineering on delivery, reliability, and scale across multiple product lines
$93K - $127K/yr
... annotation and synthetic data * Drive independent technical decisions on chunking strategy ... Partner with engineering on delivery, reliability, and scale across multiple product lines
... annotation and synthetic data * Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods * Partner with engineering on delivery ...
... annotation and synthetic data * Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods * Partner with engineering on delivery ...
Plymouth, MN · On-site
$105K - $169K/yr
... annotation, governance, and lifecycle management from a clinical perspective, ensuring data relevance, quality, traceability, and ethical use. Work closely with data science and engineering teams to ...
Plymouth, MN · On-site
$105K - $169K/yr
... annotation, governance, and lifecycle management from a clinical perspective, ensuring data relevance, quality, traceability, and ethical use. Work closely with data science and engineering teams to ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation of samples and experimental results ... The GRA will work closely with senior researchers to support experimental design, data collection ...
... annotation and synthetic data generation * Drive independent technical decisions on retrieval architecture, indexing strategy, ranking models, and evaluation methodology * Partner with engineering on ...
... annotation and synthetic data generation * Drive independent technical decisions on retrieval architecture, indexing strategy, ranking models, and evaluation methodology * Partner with engineering on ...
$50.4K - $63.4K
2% of jobs
$63.4K - $76.3K
9% of jobs
$85.4K is the 25th percentile. Wages below this are outliers.
$76.3K - $89.3K
20% of jobs
$89.3K - $102.3K
4% of jobs
$102.3K - $115.2K
4% of jobs
$115.2K - $128.2K
1% of jobs
$128.2K - $141.1K
0% of jobs
$141.1K - $154.1K
0% of jobs
The median wage is $160.6K / yr.
$154.1K - $167K
18% of jobs
$167K - $180K
0% of jobs
$185K is the 75th percentile. Wages above this are outliers.
$180K - $192.9K
41% of jobs
$50.4K
$144.4K
$192.9K
One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.
A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.
$145K - $190K/yr
Full-time
Posted 19 days ago
The Principal Mobile & Application Software Engineer is a hands-on technical leader responsible for the design, development, and delivery of the top-level software platform for next-generation medical imaging devices. This includes mobile applications (iOS/Android), system-level software integration, user interface development, and overall application architecture.
This role owns the transformation of processed imaging and sensor data into intuitive, reliable, and clinically actionable user experiences. Working in close partnership with Vision Software and Vision Systems Engineering, this position integrates complex multimodal data (RGB, thermal, fluorescence, NIRS, 3D) into a cohesive application layer.
In addition to development, this role is responsible for software process execution (JIRA/Agile), documentation, and software verification and validation within a regulated medical device environment.
ROLES AND RESPONSIBILITIES
Application Architecture & Technical Leadership:
Own the architecture and implementation of the top-level software platform, including mobile applications and system integration layers.
Define application-level software architecture, including:
- Data flow from embedded device → mobile application → cloud/storage.
- Real-time visualization and interaction models.
- System state management and device control interfaces.
Establish performance targets for application responsiveness, reliability, and usability.
Serve as the primary technical lead for application-layer software across the program.
Mobile Application Development (iOS & Android):
Lead development of cross-platform or native mobile applications for medical imaging systems.
Design and implement:
- Real-time visualization of multimodal imaging data.
- UI/UX for clinical workflows (capture, review, annotation, export).
- Device connectivity (Wi-Fi, BLE, USB).
Optimize performance on mobile SoCs (CPU/GPU/NPU) for real-time interaction.
Ensure consistent behavior and performance across iOS and Android platforms.
Collaborate with UX/UI designers and clinical stakeholders to deliver intuitive, high-value interfaces.
Support multispectral, NIR, fluorescence, thermal, or depth-based imaging pipelines as required by the product roadmap.
System Integration (Device ↔ App ↔ Cloud):
Define and implement communication between embedded imaging hardware and mobile applications:
- Streaming, buffering, and synchronization of image data.
- Command/control interfaces for device operation (LEDs, capture modes, sensors).
Architect data handling strategies:
- On-device processing vs mobile vs cloud partitioning.
- Compression, storage, and transfer of large imaging datasets.
Support integration with backend/cloud systems and EHR workflows where applicable.
Software Process, Program Execution & JIRA Ownership:
Own software execution framework using Agile/Scrum methodologies.
Build and manage:
- JIRA epics, stories, and sprint plans.
- Cross-functional dependencies (vision SW, firmware, hardware).
Translate system and product requirements into clear, actionable software work packages.
Drive execution discipline across the software team (planning, tracking, delivery).
Identify risks, bottlenecks, and mitigation strategies early.
Verification, Validation & Regulatory Compliance:
Define and execute software verification and validation strategies for the application layer.
Develop test frameworks for:
- Functional validation.
- UI/UX validation.
- System integration testing.
Ensure compliance with medical device standards including:
- IEC 62304
- ISO 13485
Support Design History File (DHF) development, including:
- Software requirements.
- Architecture documentation.
- Traceability
- Verification evidence.
Participate in risk management and usability engineering activities issues.
Cross-Functional Collaboration:
Partner closely with: Vision Software Engineers (algorithms, image processing), Vision Systems Engineers (hardware, optics, sensors), Firmware and embedded teams.
Translate complex technical outputs into usable application features.
Participate in system-level tradeoffs:
- Latency vs fidelity.
- On-device vs. mobile compute.
- UX vs technical constraints.
Interface with external partners, contractors, and software vendors.
Documentation, Productization and Compliance:
Create and maintain clear, structured documentation for:
- Application architecture.
- APIs and interfaces.
- Data models and workflows.
Support regulatory submissions and audits with well-organized documentation.
Contribute to product readiness including:
- Release management.
- Field support tools.
- Post-market updates.
Stakeholder Engagement:
Support technical discussions with suppliers, manufacturing partners, and internal stakeholders.
Assist with product launches, field issue investigations, and post-market support as needed.
Translate clinical, system, and business requirements into actionable imaging engineering specifications.
MINIMUM EXPERIENCE AND EDUCATION REQUIREMENTS
Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred).
8–12+ years of experience in software development, with significant focus on mobile and application-layer systems (medical device experience strongly preferred).
Strong experience in:
- iOS (Swift) and/or Android (Kotlin/Java).
- Cross-platform frameworks (React Native, Flutter) is a plus.
Proven experience building and shipping complex applications that interface with hardware devices.
Experience with:
- Real-time data visualization.
- Networking (Wi-Fi, BLE, USB communication).
- API and system integration.
Strong understanding of software architecture and system design.
Experience with Agile development and tools such as JIRA and Confluence.
Experience in regulated environments (medical device preferred).
Familiarity with software V&V and documentation practices.
Startup or early-stage product development experience strongly preferred.
Able to function with urgency in high-pressure, prototype-driven development cycles.
Excellent verbal, written communication, especially with development and quality teams.
Demonstrated business acumen with the proven ability to work independently as well as collaboratively in a cross-functional team environment.
