745

Hours volunteer roles

Job Alerts On

Get job alerts sent straight to your inbox.

By clicking 'Create alert' you agree to the Terms and Conditions applicable to our service and acknowledge that your personal data will be used in accordance with our Privacy and Cookie Policy and you will receive emails and communications about jobs and career related topics.

You will now get the latest from this search sent to your inbox.

You can manage your job alerts by clicking here:

Upload your CV

Save time when you spot your dream job. Upload your CV with ease.

Upload CV
QCCA Ltd, NW5, London (On-site)
Unpaid role, expenses not paid
Posted 2 weeks ago Apply Now
Southwark Group of Tenants Organisations, Remote
Unpaid role, expenses not paid
Posted 1 month ago Apply Now
Closing in 3 days
Cats Protection, Shetland (On-site)
Unpaid role, expenses paid
Posted 1 month ago
Closing in 7 days
St John Ambulance Cymru, Multiple Locations (Hybrid)
Unpaid role, expenses paid
Posted 3 weeks ago
Pregnant Then Screwed, Remote
Unpaid role, expenses paid
Posted 3 weeks ago
Acacia uk trading limited trading subsidiary of Rafiki Thabo Foundation, Multiple Locations (On-site)
Unpaid role, expenses not paid
Posted 3 weeks ago
Page 13 of 50
We Make Change
Remote
Unpaid role, expenses not paid
Voluntary

Actively Interviewing

This organisation is scheduling interviews as applications come in. They're ready to hire as soon as they find the right person. Don't miss your opportunity, apply now!

Job description

MednTech

We provide an Android AI tool that analyzes cervical images to support frontline screening decisions.

Data Preprocessing Model Specialist-Input Quality & Standardization

About MednTech
MednTech is a nonprofit organization developing AI-powered tools to improve early detection of cervical cancer and expand access to care in underserved communities, particularly in Africa. It works by equipping frontline healthcare providers with accessible technology and partnering with local health systems to improve outcomes and empower patients. We have already implemented our diagnostic model in real-world settings in Rwanda. We are now looking to further improve its performance and robustness before our next deployment, and are currently seeking volunteers to support this initiative.

Why Volunteer With Us

We are early-stage, moving fast, and building something that matters. You will have real ownership over technical decisions that directly shape a tool going into the field. Cervical cancer is one of the most preventable cancers in the world, yet it remains a leading cause of cancer death in low-resource settings simply because screening does not reach the people who need it. The tool you help build changes that. If you want your code to save lives, this is that opportunity!

Role Overview
Your role will be to aid design and implement a preprocessing model that ensures all incoming cervical images meet strict quality and consistency standards before being passed into downstream models.
Our cervical cancer screening method is dependent on pictures taken using a smartphone, leading to large variation in lighting and cervix positions in the image. On top of natural variances in fluid blockages or rotation and angle or cervix, it’s important that only valid images are run through our model.

Key Responsibilities

  • Build automated checks for:
  • Lighting normalization
  • Blur and focus detection
  • Angle and framing validation
  • Specular reflection handling
  • Develop preprocessing models or heuristics to:
  • Enhance image quality (contrast, de-noising)
  • Standardize image format, resolution, and scale
  • Implement image rejection and acceptance criteria pipeline
  • Create a quality scoring system for input images
  • Collaborate with CV and ML engineers to optimize preprocessing impact on performance
  • Optimize preprocessing for real-world noisy data (mobile capture, low-resource settings)

Required Skills

  • Strong background in computer vision fundamentals
  • Experience with OpenCV, PIL, or similar image processing libraries
  • Understanding of image quality metrics
  • Experience building automated data validation pipelines

Preferred Qualifications

  • Experience with medical image preprocessing

  • Familiarity with variability across capture devices and environments

  • All roles are highly collaborative and will work closely across the MednTech AI pipeline

  • Experience with healthcare AI, low-resource environments, or global health applications is a strong plus

  • Candidates should be comfortable working in fast-paced, early-stage environments

Minimum Hours per Week:

4-6 hours per week

Duration:

One-off project

Organisation
We Make Change View profile Organisation type Non Charity Employer Company size 6 - 10

We connect professionals with impact startups matching their causes, skills & schedule.

Posted on: 09 April 2026
Closing date: 23 April 2026 at 10:48
Tags: Digital, Data Analysis, Data Entry, Data Protection, Data Science, Database Management, Web

The client requests no contact from agencies or media sales.