Work Location: Remote in Portugal Engagement Model: Freelance; Independent Contractor Est.
Start Date: Nov 19, 2025 Est.
Work Schedule/Workload: Approximately 24 hours over a 2-week period (The actual schedule and total workload may vary depending on feedback and revision cycles)Language(s) Needed: Portuguese (Portugal)Rate:$25 USD per hour (with an expected hourly throughput of reviewing 1,500 words)Data Force by Trans Perfect is seeking several Portuguese (Portugal)Freelance Editors/QAers to join our project.
This is an exciting opportunity to be part of an innovative project; your creative contribution will be used to test and improve Machine Translation technology.
We will consider candidates with relevant editing skills or experience.
Preference will be given to those with a professional background in editing and/or a graduate or undergraduate degree in literature, journalism, or creative writing.
Task Summary: Editors/QAers will review original short stories to ensure accurate spelling, grammar, and guideline compliance.
They will also provide constructive feedback to help improve plot, structure, character development, and other storytelling elements.
Different rounds of review may be required for each story.
Job requirements: Residence in Portugal Idiomatic fluency in Portuguese (Portugal)Excellent reading skills in Portuguese (Portugal) (grammar, spelling)Working proficiency in English required, as all communication and task guidelines will be in English Graduate or undergraduate degree in literature, journalism, or creative writing and/or proven experience in editing, proofreading or a relevant field.
Ability to start and complete tasks within the given deadline Strong attention to detail In case you have any questions about this role contact us at: Data Force by Trans Perfect is part of the Trans Perfect family of companies, the world's largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world.
Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.
