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Remote Opportunity English - Thai Translation Evaluation Project

Job Overview

Location

Los Angeles, Indiana, USA

Job Type

Full-time

Category

Software Engineering

Date Posted

September 13, 2025

Full Job Description

đź“‹ Description

  • • Step into the role of Remote English–Thai Translation Evaluation Expert at Appen Limited and become the human safeguard behind AI that speaks Thai as naturally as a Bangkok native. Every day you will adjudicate 500 carefully curated sentence pairs—one English source and two competing Thai translations—deciding which version best captures meaning, tone, and cultural nuance. Your verdicts will train next-generation language models used by millions of Thai speakers in voice assistants, chatbots, e-commerce search, and government services.
  • • Your workflow begins each morning when you log into Appen’s secure evaluation portal and claim your daily batch. You will read each English sentence, then compare the two Thai renderings side-by-side, judging accuracy (are facts preserved?), fluency (does it read like a native wrote it?), grammar (particles, classifiers, honorifics), and cultural appropriateness (does the tone respect Thai social norms?). You will assign a numeric score and write concise, evidence-based justifications that explain why one translation outperforms the other. These rationales are fed directly to machine-learning teams, shaping the algorithms that will serve Thai users tomorrow.
  • • Independence is paramount: you will evaluate without any machine-translation aids—no Google Translate, DeepL, or AI suggestions—ensuring your judgment reflects authentic human intuition. This purity of assessment is what turns your daily work into gold-standard datasets that the world’s leading tech companies rely on.
  • • Expect a predictable, focused workload of 2–4 hours per day. You choose when to start and finish, as long as your batch is completed before midnight Bangkok time. This asynchronous model lets you fit the role around university lectures, family duties, or other freelance gigs.
  • • The project runs from 1 September to 20 December, offering four months of steady income and the chance to deepen your specialization in Thai linguistics. High performers are frequently invited to extend or join follow-on projects, turning a short-term engagement into a long-term partnership.
  • • Collaboration happens through Slack channels and monthly virtual round-tables where linguists across Thailand, Singapore, and the US dissect tricky cases, refine evaluation guidelines, and share regional dialect insights. Your voice influences not only this dataset but future Thai NLP initiatives across Appen’s global client portfolio.
  • • At the end of each week you will receive a personalized quality dashboard: inter-rater agreement scores, error-pattern heat maps, and targeted tips for sharpening your eye. Continuous feedback transforms the role into a masterclass in Thai linguistic evaluation, adding a prestigious credential to your rĂ©sumĂ©.
  • • By December you will have contributed to a corpus that powers clearer travel instructions for tourists, safer medical information for patients, and more inclusive technology for Thai speakers everywhere. The impact is real, measurable, and lasting.

Skills & Technologies

Remote
Degree Required

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Appen Limited
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About Appen Limited

Appen Limited is an Australian publicly traded company that provides data annotation, collection, and evaluation services to improve machine-learning models for technology, automotive, and government clients worldwide. Leveraging a global crowd of over one million contributors, it produces high-quality training data for speech recognition, computer vision, search relevance, natural-language processing, and sentiment analysis systems. Founded in 1996 and headquartered in Sydney, Appen supports more than 235 languages and dialects, enabling scalable, accurate datasets that power AI applications across autonomous vehicles, virtual assistants, e-commerce, and social media platforms while emphasizing ethical crowd practices and data security.

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