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Pathology Annotation Jobs (NOW HIRING)

Rancho BioSciences

NY · On-site

Define disease- and indication-specific annotation guidelines , including relevant tissue ... Support computational pathology and ML/AI teams through the translation of clinical and ...

Intuitive

Lead Cytopathologist

San Carlos, CA · On-site

Work with a team of consultant pathologists to support annotation, validation, and research activities * Evaluate and annotate pathology images and data * Oversee pathology data quality, consistency ...

Intuitive Surgical

Lead Cytopathologist

San Carlos, CA · On-site

Work with a team of consultant pathologists to support annotation, validation, and research activities * Evaluate and annotate pathology images and data * Oversee pathology data quality, consistency ...

Intuitive

Lead Cytopathologist

San Carlos, CA

Work with a team of consultant pathologists to support annotation, validation, and research activities * Evaluate and annotate pathology images and data * Oversee pathology data quality, consistency ...

TEKsystems

Phonetician

Menlo Park, CA · On-site +1

$40 - $45/hr

... team as an Annotation Specialist. In this role, you will produce high-quality phonetic ... Pathology, or a closely related field Demonstrated proficiency in IPA transcription (both broad and ...

Dana-Farber Cancer Institute

$72K - $76K/yr

Collaborate with clinicians, pathologists, and laboratory scientists on ongoing research studies * Assist with biospecimen annotation, data interpretation, and manuscript preparation * Present ...

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How much do pathology annotation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for pathology annotation in the United States is $35.05, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $41.59 per hour, depending on experience, location, and employer.

What is pathology annotation?

Pathology annotation is the process of labeling and marking specific features or regions of interest within pathology images, such as tissue samples or slides, to assist in diagnosis, research, or the development of artificial intelligence tools. These annotations can include identifying tumors, cell types, or other abnormalities. Pathology annotation is crucial for creating high-quality datasets that can be used to train machine learning models in digital pathology. It often requires specialized knowledge of histology and pathology to ensure accuracy.

What are the key skills and qualifications needed to thrive as a pathology annotation specialist?

To excel as a Pathology Annotation Specialist, you need a background in life sciences or pathology, strong attention to detail, and familiarity with histological and cellular structures. Experience with digital pathology platforms, image analysis software, and sometimes certifications in medical laboratory technology are often required. Excellent analytical skills, precision, and effective communication help ensure reliable data annotation and collaboration with research teams. These competencies are critical for generating accurate datasets that support disease research and the development of diagnostic tools.

What are some common challenges faced by professionals in pathology annotation, and how can they be addressed?

Professionals in pathology annotation often encounter challenges such as interpreting ambiguous or low-quality tissue images, maintaining consistency in labeling, and managing large volumes of data. Addressing these challenges typically involves ongoing collaboration with pathologists, participation in regular training or calibration sessions, and utilizing standardized annotation protocols. Leveraging digital pathology software and quality control processes can also help ensure accuracy and consistency, making teamwork and communication essential components of success in this role.
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Infographic showing various Pathology Annotation job openings in the United States as of September 2026, with employment types broken down into 6% As Needed, 59% Full Time, 20% Part Time, 1% Temporary, and 14% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $72,895 per year, or $35 per hour.

Software Engineer, Pathology and Digital Imaging

Austin, TX • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

Full-time

Re-posted 9 days ago

Job description

Team Description:

The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving  safety, improving our  device, and pushing  science forward.

Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.

This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.

Job Description and Responsibilities:

As a Software Engineer on the Pathology and Digital Imaging Team,  you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.

You'll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on: 

  • Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
  • A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
  • Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
  • ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets

Required Qualifications: 

  • A bachelor's degree in Computer Science or equivalent demonstrated work experience
  • Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
  • You've built software that real people use
  • You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
  • You take ownership. When your software breaks on the floor, you fix it
  • You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

Apply