Remote Portuguese Model Evaluation Specialist

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Full time

Job summary

AuraOne is seeking a Remote Portuguese Transcription Expert contractor to evaluate generalist evaluation outputs, label edge cases, and provide structured feedback aligned with rubrics. Candidates should demonstrate experience with annotation and multilingual evaluation tasks and be able to work asynchronously for about 10 hours weekly.

Responsibilities include comparing paired responses, tagging unsafe content, and contributing to rubric updates to improve model accountability and retraining

Qualifications

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

Responsibilities

• Evaluate Portuguese generalist evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples weekly.

Skills

Portuguese evaluation

Annotation

Inter-rater calibration

Attention to detail

Job description

AuraOne is seeking a Remote Portuguese Transcription Expert contractor to evaluate generalist evaluation outputs, label edge cases, and provide structured feedback aligned with rubrics. Candidates should demonstrate experience with annotation and multilingual evaluation tasks and be able to work asynchronously for about 10 hours weekly.

Responsibilities include comparing paired responses, tagging unsafe content, and contributing to rubric updates to improve model accountability and retraining