Remote Mandarin-Python Expert for AI Data QA

SME Careers

Singapore

Remote

SGD 44,000 - 62,000

Part time

37 hours ago
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Benefits offered by this job

Flexible hours
Remote work
Calibrated rubrics and feedback

Job summary

SME Careers is seeking a Chinese-speaking Python Expert (Mid Level) for an hourly remote contract based in Hong Kong. The role involves reviewing AI-generated Python answers and Chinese explanations, judging correctness, and providing expert feedback.

You will craft reference explanations and model solutions, and rate responses using consistent rubrics. You will also create Mandarin prompts and acceptance criteria for Python coding scenarios, annotate common Python error patterns, and

Qualifications

  • Bachelor's degree in CS/SE or equivalent practical experience.
  • Fluency in Mandarin Chinese; Traditional Chinese preferred for HK.
  • English proficiency at C1 level.
  • Strong knowledge of Python 3.x fundamentals and debugging.

Responsibilities

  • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning.
  • 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.
  • Annotate and categorize Python error patterns with bilingual labels to support consistent evaluation.

Skills

Python
Code review
Debugging
Technical problem solving
English communication

Education

Bachelor's degree in CS/SE

Job description

SME Careers is seeking a Chinese-speaking Python Expert (Mid Level) for an hourly remote contract based in Hong Kong. The role involves reviewing AI-generated Python answers and Chinese explanations, judging correctness, and providing expert feedback.

You will craft reference explanations and model solutions, and rate responses using consistent rubrics. You will also create Mandarin prompts and acceptance criteria for Python coding scenarios, annotate common Python error patterns, and

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