Translated ( Cloudwork )

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Principle 5: Fair Representation


Workers have access to representation, and freedom of association (one point)


There is collective governance or bargaining (one additional point)



The Fairwork Scoring System entails that each Fairwork Principle is divided into two thresholds. Accordingly, for each Principle, the scoring system allows a first point to be awarded corresponding to the first threshold, and an additional second point to be awarded corresponding to the second threshold. The second point under each Principle can only be awarded if the first point for that Principle has been awarded.

An explanation of how we assess platforms against these principles and the information and evidence that we gather and analyse when we make our assessment can be found here.

The above scores should be read in conjunction with these explanatory notes.

Platforms are awarded a point where there is verifiable evidence to demonstrate that the platform has achieved the relevant threshold. A blank score therefore means that there was no verifiable evidence to award a point.

A platform can therefore receive a maximum Fairwork Score of ten points.

Fairwork scores are updated on a yearly basis.

An explanation of the conditions that need to be met for a threshold to be achieved can be found here.


There was evidence that the platform has systems in place to ensure that workers are paid on time for all the work they complete. This includes systems to guard against unfair rejection of work by clients, and other instances of non-payment.


The platform was able to evidence that the vast majority of translators earns above the respective local minimum wage.


On Translated, translators are matched with jobs and receive job offers via email, thereby sparing workers from having to search for available jobs and reducing unpaid labour time.


The platform has implemented policies and processes to mitigate task-specific health and safety risks. Following engagement with Fairwork, Translated has introduced a clause in the terms and conditions requiring clients to flag potentially sensitive or disturbing content when uploading a file, upon which a trigger warning is sent to translators for jobs involving such content. The platform has adequate data privacy and security measures in place.


Workers on Translated can access the reasonably comprehensible Terms of Service (ToS) in English at any time via the website. Moreover, the platform, following dialogue with Fairwork, introduced a four-week notification period before any changes to the terms and conditions come into effect. For this threshold, the platform was also able to evidence that any changes to the terms and conditions do not reverse existing accrued benefits and reasonable expectations on which workers have relied.


We were able to verify that Translated met all our criteria including not imposing non-compete clauses on workers, and ensuring that workers can refuse tasks without any consequences for their standing or reputation on the platform. In addition, following dialogue with Fairwork, the platform introduced additional measures to encourage clients to provide translators and transcribers with information in the order process about how the final transcription or the translated/transcribed document will be used.


There is evidence that workers on this platform can easily communicate with a human representative of the platform. Workers receive an explanation for all punitive actions including reductions in their rating/platform standing, non-payment, work rejections, penalties, account blocks, deactivation and any other disciplinary actions. Explanations for punitive actions and work rejections include information on how they can be appealed. The process for workers to appeal punitive actions and work rejections is non-arduous, documented in the contract, and available to workers who no longer have access to the platform.


Translated has anti-discrimination clauses in their terms and conditions stating that neither clients nor the platform shall discriminate against workers on the ground of criteria such as gender, race, religion or sexual orientation. For this platform, we were also able to verify that information is made available to workers about how work is allocated, including where algorithms are used – which promotes fairness and reduces the possibility of discrimination.