Pathologist

Job Title: Pathologist

Job Type: Contractor

Location: Remote

Job Summary: As a Pathologist, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

- Review and annotate diverse medical data sets, including histopathology images, laboratory results, and clinical notes.

- Evaluate and identify diagnostic patterns to guide data labeling and enrichment efforts.

- Collaborate with AI developers and data scientists to impart clinical context and validate system outputs.

- Provide detailed, domain-specific feedback to optimize the accuracy and reliability of AI models.

- Ensure all information complies with industry standards, best practices, and patient privacy requirements.

- Contribute written and verbal insights to cross-functional teams, fostering innovation and learning.

- Stay current with advancements in pathology and recommend relevant updates for AI training content.

Required Skills and Qualifications:

- Board-certified Pathologist with active and valid credentials.

- Demonstrated expertise in pathology, including the interpretation of complex specimens.

- Exceptional written and verbal communication skills for conveying insights and collaborating remotely.

- Strong attention to detail, accuracy, and consistency when working with large clinical data sets.

- Ability to synthesize clinical information and present findings in an organized, actionable manner.

- Familiarity with digital pathology platforms and relevant medical software.

- Commitment to data privacy, security, and ethical handling of sensitive information.

Preferred Qualifications:

- Experience in AI data annotation or clinical informatics.

- Research background or publications in pathology-related topics.

- Proven ability to work independently in a remote, distributed team environment.

Required Skills

• pathology expertise
• digital pathology platforms
• medical data annotation
• clinical data interpretation
• written communication
• verbal communication
• attention to detail
• data privacy and security
• collaboration with cross-functional teams
• remote work proficiency