Chinese AI Quality Analyst — Personalized Response Evaluation

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We help people discover projects, build a unified portfolio of AI training work, and grow long-term, freelance-ready experience in the fast-growing human side of AI.

For this role, OpenTrain is the hiring and contracting organization. Successful contributors build credibility on their OpenTrain profile, which makes it easier to find future projects and demonstrate proven experience evaluating model behavior.

About AI Training Work

AI training (also called data labeling or human feedback work) is how people teach models to behave: annotating outputs, rating responses, and providing structured feedback that improves safety, relevance, and usefulness. This is flexible, mostly remote work that can be done part time and helps shape state-of-the-art systems.

If you enjoy careful comparison, clear written reasoning, and working with language and context, this kind of evaluation work puts you on the front lines of how models learn to personalize and stay grounded.

The Role

You will evaluate personalized AI responses in Chinese with an emphasis on how well the model uses conversation history and activity signals to produce relevant, grounded, and helpful answers. The work combines creative prompt design with careful, defensible critique.

This is an intermediate-level, part-time contractor role focused on text-based evaluation tasks and structured rationale writing.

What You'll Do

• Design and execute multi-turn prompts grounded in personal context and experience.
• Review model responses for grounding, integration of conversation history, and overall helpfulness.
• Compare two responses side by side, choose the better answer, and provide a clear ranking.
• Write concise, defensible rationales that reference specific turns and call out grounding issues, poor inferences, and forced connections.
• Verify debug information provided with tasks and maintain strict data hygiene and accuracy in annotations.

Requirements

You must be fluent in written and reading Chinese and comfortable producing clear, structured feedback in Chinese.

• Strong written and reading ability in Chinese (required).
• Experience designing multi-turn prompts or similar conversational evaluation tasks.
• Good judgment for spotting incorrect personalization, weak inference, and hallucinations.
• Ability to write concise, structured rationales and annotations that reference specific turns.
• Preferred: background in data annotation, AI quality evaluation, content moderation, or analytical work.

Compensation, Schedule & Work Type

This role is a contractor, part-time position with a minimum expected commitment of 20+ hours per week.

Pay is hourly at USD 15. The work is text-only evaluation (label types: evaluation rating and text generation). Tasks are available worldwide; you may work from any country.

• Payment: $15/hour (PAY_PER_HOUR).
• Time: 20+ hours per week (part-time contractor).
• Data type: Text (EVALUATION_RATING, TEXT_GENERATION).
• Worldwide applicants accepted; tasks require Chinese (zh).

How It Works / Next Steps

Apply through OpenTrain to be considered. If selected, you'll receive task instructions, examples, and access to the annotation interface needed for this project. Training materials and quality checks ensure you understand evaluation criteria and data hygiene expectations.

Successful contributors who demonstrate clear, consistent, high-quality rationales build a stronger OpenTrain profile and increase their chances for future projects in the same domain.

• You will be contracted by OpenTrain and complete tasks via our platform.
• Expect onboarding materials and example annotations before live tasks.
• Maintain strict confidentiality and data hygiene when handling model prompts and responses.