Pathologist – Cell Annotation Specialist

 Posted 4 hours ago
     
2-5 years experience
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AI Summary

The role involves identifying and labeling histopathological features in human cell samples using whole-slide images. The specialist will collaborate with AI/ML teams to ensure annotation accuracy and quality to support model development.

Work Location: Spain, Remote

Work Schedule/Workload (if applicable): up to 20 hours per week

Engagement Model: Independent Contractor

Estimated Project Duration: approximately 12 weeks

Estimated Start Date: Aug 2026

Language(s) Needed: English (professional working fluency)

Overview:

We are seeking a skilled Pathologist to join our team for annotating human cells in whole-slide images. The role involves identifying and labeling histopathological features to support AI/ML model development in digital pathology.

 

Role Responsibilities 

· Review whole-slide images using cloud-based image management systems

· Identify and classify lesions according to project-specific guidelines

· Annotate predefined histopathological features in human cell samples

· Ensure annotation quality, accuracy, and consistency across datasets

· Document findings and maintain detailed annotation records

· Participate in quality assurance and peer review processes

· Collaborate with AI/ML teams to enhance model performance and annotation accuracy

Provide feedback on annotation guidelines and workflows

 

Role Requirements 

· Medical degree with specialization in Pathology (MD/MBBS or equivalent)

· Board certification in Anatomic/Clinical Pathology

· Minimum 3-5 years of subspecialty experience in histopathology

· Demonstrated diagnostic concordance on validated cases

· Active participation in peer review processes

· Strong performance in practical slide-based assessments

· Excellent attention to detail and ability to follow standardized guidelines 

Technical Skills & Experiences

· Hands-on experience with whole-slide imaging (WSI) platforms

· Proficiency in digital pathology tools such as HALO, QuPath, and ImageJ

· Familiarity with AI-assisted diagnostic workflows

· Experience with quality assurance processes in digital pathology

Understanding of machine learning concepts in medical imaging (preferred)

Preferred Role Requirements 

· Prior experience in AI/ML data annotation projects

· Knowledge of cloud-based image management systems

· Ability to adapt to evolving annotation guidelines and protocols

· Strong documentation and communication skills.

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at https://www.transperfect.com/dataforce.

TransPerfect is an equal opportunity employer and committed to all recruitment processes and workplace free from harassment, sexual harassment and discrimination. 

For more information on the TransPerfect Family of Companies, please visit our website at www.transperfect.com.

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