Bilingual Document Evaluator for AI Quality (Remote)

AI Trainer Jobs; United States; Remote; USD 34,000 - 41,000; Full time

Job summary

AI Trainer Jobs is seeking a Bilingual Document Annotator for a remote contractor position to review document annotation prompts and responses against AuraOne's quality rubric. You will compare outputs, label edge cases, and provide structured feedback the modeling team can use to retrain.

Ideal candidates have prior evaluation or annotation experience, strong written reasoning to name issues, and the ability to apply rubrics consistently across multi-page tasks.

Qualifications

• Prior evaluation, annotation, or human-rater experience on document annotation or adjacent content.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.
• Ability to apply multi-page rubrics consistently across long batches.

Responsibilities

• Evaluate document annotation model outputs against a versioned rubric and assign severity tags for Bilingual Document Annotator 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.

Skills

Linguistics background

Content moderation experience

Inter-rater calibration

Attention to detail

Clear written reasoning

Async availability

Annotation experience

Tools

JSON

PDF Analysis

Rubric systems

Job description

AI Trainer Jobs is seeking a Bilingual Document Annotator for a remote contractor position to review document annotation prompts and responses against AuraOne's quality rubric. You will compare outputs, label edge cases, and provide structured feedback the modeling team can use to retrain.

Ideal candidates have prior evaluation or annotation experience, strong written reasoning to name issues, and the ability to apply rubrics consistently across multi-page tasks.