Pathology Superresolution Evaluation

About OpenTrain

OpenTrain is the leading platform for people who train and label data that power modern AI. We connect qualified contributors with short-term projects so you can build experience, earn competitive pay, and help shape how AI systems behave.

OpenTrain AI is the hiring and contracting organization for this role; creating an OpenTrain account is free and is how you apply and work on projects.

Why AI training work matters

AI models learn from examples that humans prepare and review. This project puts you on the clinical side of that work: your expert judgments directly influence how algorithms interpret pathology images.

These roles are often remote and flexible, letting licensed professionals contribute part time while keeping full control of their schedule.

The role

You will evaluate pairs of whole‑slide images produced by pathology superresolution algorithms and answer structured questions about which image is the algorithmic output, which looks better, and related quality judgments.

This is a contract, part‑time position using our internal proprietary annotation tooling. Tasks are image-based with evaluation/rating labels and require clinical pathology expertise.

What you'll do

Work through image comparison tasks in our internal interface and provide per-task evaluations and ratings.

Follow project-specific guidelines to make consistent judgments about image fidelity, diagnostic utility, and visual quality.

• Compare two whole‑slide images and identify which is the superresolution output when possible.
• Rate image quality and indicate which slide looks diagnostically preferable.
• Answer short structured questions tied to each image pair according to provided guidelines.
• Record ratings using the platform's evaluation/rating tools (no external software required).

Requirements

This project requires a licensed pathologist with clinical training; credential must be MD or DO. Candidates should be comfortable making diagnostic-quality visual judgments on histopathology slides.

Conversational English proficiency is required so you can read instructions and complete short written responses in the interface.

• Must be a licensed pathologist (MD or DO).
• Conversational English proficiency.
• Entry‑level experience is acceptable; prior annotation experience is not required.

Compensation & schedule

Pay is on an hourly, contract basis. The listed typical rate is USD 150 per hour, with a range of $100–$200 per hour depending on task and experience.

Expected commitment is less than 20 hours per week. This is remote work and open to contributors worldwide.

• Payment type: hourly (PAY_PER_HOUR).
• Typical rate: $150/hr; range $100–$200/hr.
• Max weekly time: under 20 hours.

How it works & how to apply

If you qualify, you will register for an OpenTrain account, complete any required verification, and gain access to the project's internal annotation tool and instructions. Work is performed directly on the OpenTrain platform.

Apply if you are a licensed MD/DO pathologist who wants flexible, paid short‑term work contributing to the development of pathology AI.

• Work is contracted through OpenTrain AI; no external platforms are required.
• You will be given project guidelines and a short qualification task before full access is granted.