Remote Cantonese AI Evaluation Psychologist (PhD)

AuraOne

United States

Remote

USD 34,000 - 55,000

Full time

2 days ago
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Job summary

AuraOne seeks a remote contractor to review Cantonese generalist evaluation outputs, assign severity tags, and provide structured rationales for model improvements. You will compare paired responses, label issues, and help calibrate rubrics across batches.

Ideal candidates have PhD-level Cantonese expertise, a strong eye for detail, and can work asynchronously for at least 10 hours weekly.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on cantonese generalist evaluation or adjacent content for Bilingual Cantonese Psychologist (PhD) work.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and the rubric clause being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Evaluate cantonese generalist evaluation model outputs against a versioned rubric and assign severity tags for Bilingual Cantonese Psychologist (PhD) assignments.
  • Compare paired responses and pick the stronger answer with a written rationale.
  • Label hallucinations, instruction-following failures, and unsafe content with structured tags.
  • Capture ambiguous prompts and route them back to the program team for rubric updates.
  • Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
  • Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Cantonese generalist evaluation

Education

PhD

Job description

AuraOne seeks a remote contractor to review Cantonese generalist evaluation outputs, assign severity tags, and provide structured rationales for model improvements. You will compare paired responses, label issues, and help calibrate rubrics across batches.

Ideal candidates have PhD-level Cantonese expertise, a strong eye for detail, and can work asynchronously for at least 10 hours weekly.

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