Human-In-The-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI by Robert (munro) Monarch

Author:Robert (munro) Monarch [Monarch, Robert]
Language: eng
Format: epub
Tags: computers, Data Science, Neural Networks, Human-Computer Interaction (HCI), Machine Learning
ISBN: 9781617296741
Google: W2U0EAAAQBAJ
Publisher: Simon and Schuster
Published: 2021-07-20T23:39:31.517520+00:00

7.2.1 Salary for in-house workers

You probably don’t set the salary for the annotators within your company, so this principle comes for free: they are already getting a salary that they have agreed to. If you do set the salary for your in-house annotators, make sure that they are treated with the same respect and fairness as other employees.

7.2.2 Security for in-house workers

An in-house worker already has a job (by definition), so security comes from their ability to keep that job while you have work for them—that is, while you ensure that they can keep that job. If your in-house workers’ employment and organizational positions provide less job security because they are temporary or contract workers, use some of the principles for outsourced workers. For contract workers, for example, try to structure the amount of work available to be as consistent as possible and with clear expectations of how long their employment will last. Be transparent about job mobility. Can a person become permanent and/or move into other roles?

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