Histopathologists required for AI Prostate Pathology Project - UK
Mentis AI is recruiting GMC-registered Histopathologists both Registrars (ST3+) and Consultants to participate in an upcoming AI annotation project focused on prostate pathology.
This is an opportunity for UK-based pathology specialists to play a direct role in shaping how AI understands and interprets real-world histopathological data, from whole slide images to diagnostic classification. As part of this project, you'll collaborate with AI researchers to annotate, segment, and refine the data underpinning the AI systems being developed.
This role is fully remote, flexible, and well-suited to registrars and consultants balancing existing clinical, academic, or research commitments. The project is starting soon and is expected to run for approximately 2–3 months.
About Mentis AI
At Mentis AI, we're helping companies build the next generation of clinically grounded artificial intelligence. We work directly with specialists to ensure their AI is safe, accurate, and aligned with how medicine is practised. As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in pathology partnering with researchers and fellow clinicians to directly influence the future of diagnostic technology and patient care.
Project Overview
Pathologists will be given access to a prostate cancer whole slide image (WSI) dataset and tasked with the following:
Semantic Segmentation: Perform polygon and region-based annotation of prostate cancer whole slide images to support the training of a continuous Gleason score classification model.
Annotation Accuracy: Delineate regions of interest precisely and consistently, ensuring annotations reflect sound diagnostic reasoning.
Quality Review: Assess the quality and accuracy of the dataset and associated labels, identifying errors, inconsistencies, or gaps.
Feedback & Reporting: Document findings clearly to support refinement of the annotation protocol and improvement of overall dataset and model quality.
Annotation work will be carried out using QuPath.
Requirements
GMC-registered Histopathologist with an active licence to practise in the UK
Registrar at ST3 level or above, or Consultant grade
Background in histopathology, with oncological pathologists and uropathologists particularly encouraged to apply
Familiarity with Gleason grading of prostate cancer
Strong familiarity with pathology workflows, diagnostic terminology, and whole slide image interpretation
Excellent analytical and clinical summarisation skills
High attention to detail and commitment to clinical accuracy
Comfortable working independently and asynchronously in a remote environment
What We Offer
Flexible scheduling compatible with clinical commitments
Fully remote participation from anywhere in the UK
Competitive compensation, paid on an hourly basis
This is an opportunity for UK-based pathology specialists to play a direct role in shaping how AI understands and interprets real-world histopathological data, from whole slide images to diagnostic classification. As part of this project, you'll collaborate with AI researchers to annotate, segment, and refine the data underpinning the AI systems being developed.
This role is fully remote, flexible, and well-suited to registrars and consultants balancing existing clinical, academic, or research commitments. The project is starting soon and is expected to run for approximately 2–3 months.
About Mentis AI
At Mentis AI, we're helping companies build the next generation of clinically grounded artificial intelligence. We work directly with specialists to ensure their AI is safe, accurate, and aligned with how medicine is practised. As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in pathology partnering with researchers and fellow clinicians to directly influence the future of diagnostic technology and patient care.
Project Overview
Pathologists will be given access to a prostate cancer whole slide image (WSI) dataset and tasked with the following:
Semantic Segmentation: Perform polygon and region-based annotation of prostate cancer whole slide images to support the training of a continuous Gleason score classification model.
Annotation Accuracy: Delineate regions of interest precisely and consistently, ensuring annotations reflect sound diagnostic reasoning.
Quality Review: Assess the quality and accuracy of the dataset and associated labels, identifying errors, inconsistencies, or gaps.
Feedback & Reporting: Document findings clearly to support refinement of the annotation protocol and improvement of overall dataset and model quality.
Annotation work will be carried out using QuPath.
Requirements
GMC-registered Histopathologist with an active licence to practise in the UK
Registrar at ST3 level or above, or Consultant grade
Background in histopathology, with oncological pathologists and uropathologists particularly encouraged to apply
Familiarity with Gleason grading of prostate cancer
Strong familiarity with pathology workflows, diagnostic terminology, and whole slide image interpretation
Excellent analytical and clinical summarisation skills
High attention to detail and commitment to clinical accuracy
Comfortable working independently and asynchronously in a remote environment
What We Offer
Flexible scheduling compatible with clinical commitments
Fully remote participation from anywhere in the UK
Competitive compensation, paid on an hourly basis