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AI Translation Evaluator - Ukrainian > English at CrowdGen by Appen

Anyang, Henan, China -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

26.74

Posted On

03 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Translation, Translation Evaluation, Semantic Similarity, Machine Translation, Linguistic Expertise

Industry

technology;Information and Internet

Description

Join CrowdGen as we're launching an exciting new AI Project focused on building a high-quality dataset. We're looking for skilled translators to evaluate machine translations by assessing text and assigning semantic similarity scores. In this project, you'll be evaluating the accuracy, fluency, and overall quality of online messages that have been translated by machines. The texts you'll be working with are similar to what you'd find in online conversations or on social media. To be a successful contributor to this project, you should: – Native Bilingual in English and Ukrainian – Be comfortable understanding and applying guidelines. – Have some experience in translation or translation evaluation. – Bonus points if you have linguistic expertise! Why Join? Enjoy the perks of a flexible, remote role: – Flexible Schedule: Work part-time on your terms – Work Anywhere: Skip the commute, work with just a laptop and internet connection. – Collaborate with a diverse, global team This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address. You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role. Interested? Apply now and help shape the future of AI-driven world! \n \n $20 - $26.74 an hour Salary/ Pay rate is based on $USD. \n

Responsibilities

Evaluate machine translations by assessing text and assigning semantic similarity scores. Assess the accuracy, fluency, and overall quality of online messages translated by machines.