In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained.

You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.

You will apply senior-level Chinese (Mandarin) localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases.

This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs.

Your work directly helps improve the world’s premier AI models.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile

• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Chinese (Mandarin) proficiency and strong command of the locale conventions for China.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.