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Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a global crowd of over 400,000, Appen partners with leading technology companies to enhance their machine learning-based products.
We are looking to hire Cytotechnician/ Annotator to annotate cropped urinary cytology slides for detection of bladder cancer. The annotator's task would include annotating of healthy urothelial cells and white blood cells. Cytotechnicians are Pathologist's Assistants. This work can be done from home or remotely.
Employment type: Project-based (open-ended)
Work location: from home or remotely
Work schedule: few hours only until task is completed (more information will be given upon application)
Payment: paid by hour
Tools needed: Access to a secure highspeed internet connection and quiet non-public workspace
Required Knowledge, Skills and Abilities:
Graduate of bachelor's degree or equivalent work experience
Previous experience as a virtual annotator/ transcriber in the medical field is an advantage but not required (i.e. medical translation, health care insurance, health care professionals, cancer care advocacy or equivalent)
Excellent oral and written communication skills
Intermediate to advanced MS office skills
We are an equal opportunity
employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you are a medical professional who would like to experience the comfort of working from home and are interested to learn more about this opportunity, feel free to submit your application and our recruitment team will contact you for a detailed discussion. For inquiries, feel free to email email@example.com.
Can work independently and productively with less supervision