Cantonese Bilingual Expert

AI Trainer Jobs; United States; Remote; USD 34,440,000 - 55,104,000; Full time

Benefits offered by this job

Remote work

Hourly pay after interview

Job summary

AI Trainer Jobs is seeking a Cantonese Bilingual Expert for a remote evaluation track. Reviewers compare cantonese prompts and responses against AuraOne's rubric, label edge cases, and provide structured feedback to retrain the model.

This contractor role offers hourly compensation after interview; location is Remote - US-eligible, with ~10 hours per week to start and flexible pacing based on program demand.

Qualifications

• Prior evaluation, annotation, or human-rater experience on cantonese generalist evaluation or adjacent content for Cantonese Bilingual Expert 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 Cantonese Bilingual Expert assignments.
• Compare paired responses and pick the stronger answer with 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.Track Evaluation & annotation Work model Remote Independent specialist contractor

Skills

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Cantonese generalist evaluation

Job description

About the role

Cantonese Bilingual Expert is a remote evaluation track for reviewing cantonese generalist evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Category: Frontier Model Evaluation Pay: Hourly rate confirmed after the interview process Location: Remote - US-eligible Contractor

Cantonese Bilingual Expert is a remote evaluation track for reviewing cantonese generalist evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn cantonese generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate cantonese generalist evaluation model outputs against a versioned rubric and assign severity tags for Cantonese Bilingual Expert 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.Track Evaluation & annotation Work model Remote Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on cantonese generalist evaluation or adjacent content for Cantonese Bilingual Expert 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.

Example tasks

• Compare two cantonese generalist evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

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