Remote Bilingual Traditional Chinese Generalist Evaluator Expert - AI Trainer

Mercor is seeking native Traditional Chinese speakers from Hong Kong or Taiwan with exceptional writing skills to contribute to a high‑impact AI research project with a leading lab. Freelancers will author Traditional Chinese / English prompt‑golden answer pairs that train and evaluate advanced language models.

Create detailed prompts in Traditional Chinese and / or English with multiple constraints and instructions, ensuring natural phrasing and real‑world relevance for Traditional Chinese‑speaking users in Hong Kong and Taiwan contexts.

Establish high‑level expectations for correct responses in Hong Kong and Taiwan consumer contexts, and develop comprehensive rubrics that account for linguistic nuance, tone, and cultural conventions specific to these regions.

Run prompts through models and assess preliminary outputs for accuracy, fluency, and cultural fit in Traditional Chinese, comparing results against English where needed.

Collaborate in QA review processes to ensure prompt tasks and rubrics meet rigor—maintaining consistency and reliability across Traditional Chinese‑language benchmarks before integration into official evaluations.

• Native-level fluency in Traditional Chinese (written), specific to Hong Kong or Taiwan usage, with strong reading / writing ability in English.
• Must be native to Hong Kong or Taiwan and have lived in or spent significant time in-country, with deep cultural and linguistic familiarity.
• BS or BA from a reputable institution (completed or in progress).
• Strong writing and critical thinking skills.
• Ability to work independently and meet deadlines.
• Significant familiarity with ChatGPT or similar tools for personal decision‑making, hobbies, or general interests.
• Based in Hong Kong or Taiwan (or able to reliably produce Hong Kong‑ or Taiwan‑specific, culturally accurate Traditional Chinese).

• Experience in teaching, research, editing, or academic writing.
• Experience creating evaluation criteria, rubrics, or grading guidelines.
• Familiarity with LLMs, prompting, or model evaluation (helpful but not required).

• Complete an AI‑led interview (about 15 minutes).
• If approved, complete a paid assessment focused on writing and rubric creation.
• Then, if selected, you will be invited to work on the project.

• Expect to contribute at least 20 hours per week.
• Expect a commitment of approximately 2–4 months.
• You’ll be working in a structured project environment with clear goals and tools.