Bilingual Generalists

AI Trainer Jobs; United States; Remote; USD 68,000 - 135,000; Part time

Job summary

AuraOne is seeking evaluators to remotely review bilingual generalists prompts and responses, scoring them against a versioned rubric. You will compare paired outputs, label edge cases, and draft structured feedback for retraining the modeling team.

Responsibilities include identifying hallucinations, instruction-following failures, and unsafe content with precise tags, while maintaining calibration against gold standards and ensuring consistent rubric application.

Qualifications

• Prior evaluation, annotation, or human-rater experience on bilingual generalists evaluation or adjacent content.
• Clear written reasoning naming the issue and the rubric clause applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations and policy violations with structured tags.
• Capture ambiguous prompts and coordinate rubric updates with the team.
• Calibrate reviewer quality against gold-standard examples weekly.

Skills

Attention to detail

Written reasoning

Async availability

Bilingual proficiency

Education

Linguistics background

Tools

Annotation tools

Job description

Bilingual Generalists is a remote evaluation track for reviewing bilingual generalists 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: $49–$98 / hr · Location: Remote — US-eligible · Contractor

Bilingual Generalists is a remote evaluation track for reviewing bilingual generalists evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Bilingual Generalists is a remote evaluation track for reviewing bilingual generalists 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 bilingual generalists 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 bilingual generalists evaluation model outputs against a versioned rubric and assign severity tags for Bilingual Generalists 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.

What you should bring

• Prior evaluation, annotation, or human-rater experience on bilingual generalists evaluation or adjacent content for Bilingual Generalists 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 bilingual generalists 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

$49–$98 / hr
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
• Bilingual Generalists evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

• - 01 Confirm profile and eligibility details.
• - 02 Attach this role deliberately.
• - 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.