Remote Bilingual AI Evaluation Specialist (Spanish)

AuraOne; United States; Remote; USD 34,000 - 55,000; Full time

Benefits offered by this job

Remote work

Job summary

AuraOne is seeking a remote contractor to review Spanish generalist evaluation prompts and responses, applying a versioned rubric and writing clear rationales. The role involves comparing paired outputs, labeling issues, and calibrating against gold standards on a weekly cadence.

Ideal candidates have prior evaluation or annotation experience, meticulous attention to detail, and reliable async availability for at least 10 hours per week.

Qualifications

• Prior evaluation, annotation, or human-rater experience on Spanish generalist evaluation or adjacent content.
• 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 Spanish generalist evaluation model outputs against a versioned rubric and assign severity tags for Bilingual (Spanish) Benefits Counselor (AI Review) 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

Spanish generalist evaluation

Attention to detail

Clear written reasoning

Async availability

Tools

Rubric management

Job description

AuraOne is seeking a remote contractor to review Spanish generalist evaluation prompts and responses, applying a versioned rubric and writing clear rationales. The role involves comparing paired outputs, labeling issues, and calibrating against gold standards on a weekly cadence.

Ideal candidates have prior evaluation or annotation experience, meticulous attention to detail, and reliable async availability for at least 10 hours per week.