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Director Image Annotation Jobs in Illinois (NOW HIRING)

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Director Image Annotation information

What is a director of image annotation?

A Director of Image Annotation is a senior professional responsible for overseeing the processes involved in labeling and tagging images for use in machine learning and artificial intelligence applications. They manage teams of annotators, develop strategies for efficient and accurate data labeling, and ensure that the annotated data meets the quality standards required for training AI models. This role often involves collaborating with engineers, data scientists, and project managers, as well as implementing best practices and tools to streamline image annotation workflows.

What are the key skills and qualifications needed to thrive as a director of image annotation, and why are they important?

To thrive as a Director of Image Annotation, you need expertise in machine learning, computer vision, data management, and a background in related fields such as computer science or engineering, often complemented by advanced degrees. Familiarity with annotation platforms, quality assurance tools, and project management systems is typically required, along with experience in leading large annotation teams. Strong leadership, communication, and problem-solving skills help drive team performance and ensure clear alignment with project goals. These competencies are crucial for delivering high-quality annotated datasets that power accurate AI models and support organizational objectives.

What are some common challenges faced by a director of image annotation, and how can they be addressed?

A Director of Image Annotation often encounters challenges such as ensuring data quality at scale, managing diverse annotation teams, and keeping up with evolving project requirements. Overcoming these obstacles typically involves implementing robust quality control processes, fostering clear communication between annotators and project stakeholders, and investing in training to keep the team updated on the latest annotation tools and standards. Additionally, balancing deadlines while maintaining high accuracy is crucial, so strong leadership and process optimization skills are essential.

What is the difference between Director Image Annotation vs Data Labeling Specialist?

AspectDirector Image AnnotationData Labeling Specialist
CredentialsExperience in AI, machine learning, or data management; often requires leadership skillsBasic to advanced knowledge of data labeling tools; certifications vary
Work EnvironmentManagement of teams, project oversight, strategic planningHands-on annotation work, using labeling platforms, focused on task execution
Employer & IndustryTech companies, AI firms, research institutionsAI, autonomous vehicles, healthcare, retail sectors
Search & Comparison IntentUnderstanding leadership roles in image annotationLearning about hands-on data labeling tasks

The main difference is that a Director Image Annotation oversees teams and manages projects, focusing on strategy and quality control, while a Data Labeling Specialist performs the actual annotation work, focusing on task execution. Both roles are essential in AI data pipelines but differ in responsibilities and experience levels.

What are the most commonly searched types of Image Annotation jobs in Illinois?

The most popular types of Image Annotation jobs in Illinois are:

What are popular job titles related to Director Image Annotation jobs in Illinois?

For Director Image Annotation jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Director Image Annotation jobs in Illinois look for?

The top searched job categories for Director Image Annotation jobs in Illinois are:

What cities in Illinois are hiring for Director Image Annotation jobs?

Cities in Illinois with the most Director Image Annotation job openings:

Director Image Annotation jobs near you

Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement

Harvard Medical Faculty Physicians

Campus, IL

Part-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description

Job Description:

Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement, Part Time

Department of Pathology

Beth Israel Deaconess Medical Center

Harvard Medical School, Boston

TheDepartment ofPathologyatBeth Israel Deaconess Medical Centeris seekingaSenior Faculty Lead, Digital Pathology Infrastructure and AI Enablement (Part-Time) faculty position(Boston).

As a teaching hospitalofHarvard Medical School, BIDMC and the Department of Pathology, provide a clinically advanced and supportive academic environment for residents, fellows, and faculty.We'realso proud and excited to be an integral part of the landmark collaboration among Dana-Farber Cancer Institute (DFCI), Beth Israel Deaconess Medical Center (BIDMC), and Harvard Medical Faculty Physicians (HMFP) toestablishNew England's only freestanding adult inpatient cancer hospital. The collaboration willprovideunparalleled opportunities for pathologists and other physician specialties to be part of DFCI's internationally recognized cancer team.

The candidate will be appointed to the faculty of Harvard Medical School at a part-time academic rank (Lecturer, Instructor, Assistant Professor, Associate Professor)commensuratewith experience.

Position Summary

Reporting to the Director of Digital Pathology (Primary), Department Chair orVice Chair for Pathology Informatics, this faculty leadership role builds, scales, andoperationalizesBIDMC Pathology's enterprise digital pathology ecosystem and serves as a department-wide expert for AI readiness, evaluation, and clinical deployment in anatomic pathology. The role partners closely with the Director of Digital Pathology key stakeholders (AP leadership, laboratory operations, IT and security, compliance, and research) to ensure safe,validated, high-quality digital workflows and an enduring education and mentorshipprogram.

KeyResponsibilities

Digital Pathology Infrastructure and Operations

Strategy and Roadmap

  • Lead a multi-year roadmap for whole slide imaging (WSI) and digital sign-out capabilities across BIDMC Pathology (clinical, educational, and research use cases). Define target-state architecture, phased milestones, resourcing, and success metrics.

PlatformBuild andIntegration

  • Lead (or co-lead) selection, implementation, and lifecycle management for WSI scanners and a scanning operations model; the image management system and enterprise viewer; storage and archiving (on-premiseand or cloud), networking,identityand access controls; and integration with LIS and EMR worklists and specimen tracking and barcoding workflows.StandardizeSOPs across scanning, image QC, downtime procedures, and incident management.

Validation,Quality, andCompliance

  • Design and oversee validation protocols for primary diagnosis on digital slides (pathologist validation, case set design, discrepancy tracking,competencyand re-validation cadence). Build a measurable QA and QCprogramfor tissue-to-image fidelity (staining variability, scanner performance, display calibration, artefact classification, and remediation workflows). Ensure readiness for applicable regulatory and accreditation requirements (for example, CAP, CLIA, HIPAA, and institutional governance).

AIEnablement,Evaluation, andClinicalDeployment

AIGovernance andSafetyFramework

  • Establish an end-to-end governance model for AI tools used in pathology (selection, risk stratification, validation, monitoring, drift detection, versioning, change control, and retirement). Develop documentation standards and oversight pathways aligned with clinical risk, ethics, and equity principles.

AI readiness foundations

  • Build practical infrastructure to support AI translation, including dataset curation pipelines (de-identification, annotation frameworks, ground truth practices); a secure compute environment for evaluation and, whereappropriate, model development; and performance benchmarking across representative case mixes and operational conditions.

Clinical implementation

  • Partner with clinical subspecialty leads todeployAI tools into workflow (triage, screening support, quantification, QC augmentation), including user training, acceptance criteria, andpost go-live monitoring.

Educationprogramdevelopment and mentorship

Educationprogram

  • Create and lead an ongoing "Digital Pathology and AI in Practice" educationprogramfor faculty pathologists and trainees; laboratory staff (histology, accessioning, scanning, and QC); and informatics and IT partners supporting pathology. Curriculum to include validation, workflow redesign, QC, human factors, AI evaluation literacy, and practical guidance on safe and responsible use of AI outputs.

Mentorship

  • Mentor trainees and faculty in digital pathology, computational pathology collaboration, andresponsibleAI adoption. Support scholarly output and career development for learners and junior faculty engaged in digital and AI initiatives.

Research, innovation, and external collaboration

  • Enable clinical-translational research through high-quality digital slide repositories andstandardizeddata capture. Support grants, publications, and multi-institution collaborations related to digital pathology, AI evaluation, andimplementationscience. Develop and manage academicallyappropriate industrycollaborations (evaluations, pilots, interoperability work), aligned with BIDMC policies.

Qualifications

  • MD or DO with board certification inAnatomic Pathology (or AP/CP).

  • Eligibility for medical licensure inMassachusetts.

  • Demonstratedexpertiseincomputational pathology, pathology informatics, image analysis, artificial intelligence, or related domains.

  • Experience leadingmultidisciplinary programs or initiativesinvolving clinical, computational, and informatics teams.

  • Knowledge ofregulatory and quality frameworks for digital and computational pathology systems.

  • Track recordofscholarly activity, innovation, or program developmentin computational pathology or informatics.

  • Strong communicationandchangemanagement skills.

Preferred Attributes

  • Visionary leader capable of advancingdata-driven transformation in pathologyat institutional and national levels.

  • Dual fluency in medicine and computing or informatics, with a portfolio spanning clinical pathology practice plus technical infrastructure development.

  • Strong ability to collaborate acrossclinical, research, engineering, and informatics domains.

  • Commitment toclinical excellence, innovation, and academic scholarship.

  • Interest in contributing tonational and international initiatives shaping the future of computational pathology.

Beth Israel Deaconess Medical Center, a 743-bed hospital and Level 1 Trauma Center, is a founding member of Beth Israel Lahey Health(BILH).BILH,ahealth care systemwith 14 hospitals,brings together academic medical centers and teaching hospitals,communityand specialty hospitals,andmore than 4,000 physicians and39,000 employeesin a shared mission to expand access and advance the science and practice of medicine through groundbreaking research and education.

Harvard Medical Faculty Physiciansat Beth Israel Deaconess Medical Center (HMFP) is one of the largest physician organizations in New England, dedicated to excellence and innovation in patient care, education, and research. As a physician-led organization, HMFP partners with more than 2,400 providersto support the delivery of exceptional care, promote professional development,and foster balance at work and home. HMFP physicians have faculty affiliations with Harvard Medical School (HMS) and provide care throughouttheBILH system andadditionalhospitals across Massachusetts.

Research

Beth Israel Deaconess Medical Center consistently ranks as a national leader among independent hospitals in National Institutes of Health funding. Research funding totals over $229.8 million annually. BIDMC researchers run more than 850 active sponsored projects and 500 funded and non-funded clinical trials.

The Harvard-Thorndike Laboratory, the nation's oldest clinical research laboratory, has been located on this site since 1973. BIDMC also shares important clinical and research programs with institutions such as the Dana-Farber/Harvard Cancer Center, Joslin Diabetes Center and Children's Hospital.

Forinformationabout the position, please contactDr.Monika Vyas(mvyas1@bidmc.harvard.edu). Candidates should apply directly online at www.hmfphysicians.org/careers. Requisition Number: R1619

Pay Range:

$269,000 - $321,000

The base pay range reflects what Harvard Medical Faculty Physicians at Beth Israel Deaconess Medical Center (HMFP) reasonably and in good faith expects to pay for this role at the time of posting and may be modified from time to time. Actual compensation within this range may be determined based on several factors, including academic appointment, work experience, specialty training, geography of work location, anticipated productivity, FTE basis, and role expectations. In addition to base compensation, this role may be eligible for performance-based incentives, which may include bonuses for productivity and quality HMFP also offers a comprehensive and generous employee benefits program to eligible employees, including health, dental, vision, life, and disability insurance, as well as retirement plan(s) with employer contributions.

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