Vietnamese Creative Annotators

March 2, 2026
Open
Open
Location
Vietnam
Occupation
Freelancer
Experience level
Mid-level
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Job Summary

Vị trí dành cho chuyên gia sáng tạo đánh giá hình ảnh AI, làm việc từ xa cho LILT tại Việt Nam với hình thức hợp đồng tự do. Công việc bao gồm đánh giá chất lượng hình ảnh, sự phù hợp thương hiệu, bối cảnh văn hóa, phát hiện lỗi kỹ thuật và chú thích dữ liệu cho AI; hưởng mức lương hợp lý, chủ động thời gian.

Yêu cầu ứng viên thành thạo tiếng Việt, nền tảng thiết kế/marketing/sáng tạo, nhận diện hình ảnh tốt, viết phân tích rõ ràng và ưu tiên có kinh nghiệm với công cụ thiết kế hoặc AI. Kỹ năng tuân thủ quy trình đánh giá là bắt buộc.

Làm việc trong môi trường toàn cầu, cơ hội học hỏi, phát triển chuyên môn và được trả lương nhanh chóng cùng cộng đồng chuyên nghiệp.

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We are seeking human evaluators with professional experience in design, marketing, or creative disciplines, who are fluent in their native language and deeply familiar with the cultural context in which that language is used.

Evaluators assess AI-generated images and agent-driven prompt outputs to determine whether they meet real-world standards for creative quality, cultural appropriateness, brand alignment, and task execution. This work requires nuanced judgment informed by local cultural norms, aesthetics, and market expectations.

This is experienced evaluation and annotation, not basic labelling.

Key Responsibilities:
Image Evaluation

  • Evaluate AI-generated images using structured rubrics, including:
    Visual quality, composition, and coherence
    Style and aesthetic alignment
    Brand and marketing suitability for a specific language and locale
    Prompt fidelity and creative intent

  • Assess cultural relevance and appropriateness, including tone, symbolism, visual cues, and market fit.

  • Identify common and edge-case failure modes such as artefacts, style drift, mistranslation, or cultural mismatch.

  • Provide concise, structured annotations that can be used directly for model improvement.

Quality & Calibration

  • Apply evaluation guidelines consistently across large task volumes.

  • Participate in calibration and QA processes to align scoring and judgment standards.

  • Surface rubric gaps, ambiguous cases, or recurring cultural or linguistic issues to LILT teams.

Required Qualifications
Native or near-native fluency in the target language(s), with strong understanding of regional and cultural context.

  • Background in design, marketing, brand, advertising, content creation, or visual communication.

  • Strong visual literacy and ability to critique creative outputs objectively.

  • Clear written communication skills and comfort explaining evaluative decisions.

  • Ability to work within structured guidelines and scoring frameworks.

Preferred Qualifications

  • Experience with design or creative production tools.

  • Familiarity with generative AI systems for images or creative workflows.

  • Experience reviewing, critiquing, or QA-ing creative work at scale.

  • Experience evaluating content for specific markets or regions.

  • Multilingual capability is a plus.

AI is changing how the world communicates — and LILT is leading that transformation.

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.

Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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LILT
LILT is the AI platform for enterprise translation. Our stack of Contextual AI, Connector APIs, and Human Adaptive feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. We bring human-powered, technology-assisted translations to global enterprises. We give organizations everything they need to scale their translation programs, go-to-market faster than ever, and improve the global customer experience. Speaking of – with Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI-powered technology to deliver multilingual, digital customer experiences at scale. Lilt is based in San Francisco with global offices in Berlin, Dublin, Indianapolis, Washington, D.C., London, and Argentina, and are backed by Intel Capital, Sequoia, Redpoint, Zetta, and XSeed.
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Company size
501-1,000
Founded in
Industry
Translation & Localization
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