Lowongan Kerja AI Intern Illuminating Asia SG Pte Ltd Terbaru di Remote

Info Terbaru Lowongan Kerja AI intern Remote November 2026 di Illuminating Asia SG Pte Ltd. Selamat Pagi bagi kawan-kawan yang sedang membutuhkan pekerjaan. Semoga tidak putus asa untuk mencari pekerjaan yang cocok dengan spesialisasi Anda. Memang kadangkala mencari pekerjaan yang pas sangatlah tidak gampang di tahun 2026 ini. Pada kesempatan ini admin akan memberikan informasi Lowongan Kerja AI intern Remote November 2026 di Illuminating Asia SG Pte Ltd. Berikut ini informasi lebih rinci mengenai Lowongan Kerja AI intern Remote November 2026 Illuminating Asia SG Pte Ltd.

Lowongan Kerja AI intern Remote November 2026 Illuminating Asia SG Pte Ltd

Berikut ini adalah kualifikasi yang harus Anda penuhi untuk memenuhi Lowongan Kerja AI intern Remote November 2026 Illuminating Asia SG Pte Ltd yang dibuka pada 14 Agustus 2026 ini:

In this hourly, remote contractor role, you will work as an Indonesian Language Specialist (SME) to review AI-generated Indonesian (Bahasa Indonesia) content and/or create high-quality Indonesian reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, slang appropriateness, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Indonesian writing; and rate and compare multiple AI responses based on correctness and overall quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Indonesian expertise directly helps improve the world’s premier AI models by making their Indonesian language output more natural, reliable, culturally accurate, and clearly written. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
requirements

• Bachelor’s degree (or higher) in Linguistics, Indonesian/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).

• Native or near-native Indonesian proficiency (reading and writing required).

• Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English.

• 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.

• Deep understanding of Indonesian grammar, spelling conventions (EYD/PUEBI), punctuation, and style—able to explain why something is wrong and how to fix it.

• Comfortable handling multiple registers (formal/informal), Indonesian business writing norms, and slang usage only when appropriate to audience and platform.

• High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing.

• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.

• Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.

responsibilities

• Develop AI Training Content: Create prompts and gold-standard Indonesian answers across multiple domains (general knowledge, customer support, education, conversational writing).

• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.

• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.

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