Dioula Bilingual Expert

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

Job summary

AuraOne is seeking a Dioula Bilingual Expert to remotely review prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback for retraining.

As an independent contractor, you will annotate outputs, tag issues, and help calibrate evaluators across batches. Reliable async availability of at least 10 hours per week is required.

The role is remote (US-eligible) with hourly compensation to be confirmed after interview.

Qualifications

• Experience evaluating bilingual evaluation prompts or related content.
• Ability apply rubrics consistently across long batches.
• Clear written reasoning naming issues and rubric clauses.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against the rubric and assign severity tags.
• Compare paired responses and select the stronger one with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and route for rubric updates.

Skills

Attention to detail

Written reasoning

Independent contractor

Availability 10h/wk

Job description

Dioula Bilingual Expert is a remote evaluation track for reviewing dioula bilingual 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

Dioula Bilingual Expert is a remote evaluation track for reviewing dioula bilingual evaluation prompts and responses against AuraOne's quality rubric.

About the role

Dioula Bilingual Expert is a remote evaluation track for reviewing dioula bilingual 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 dioula bilingual 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 dioula bilingual evaluation model outputs against a versioned rubric and assign severity tags for Dioula 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 dioula bilingual evaluation or adjacent content for Dioula 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 dioula bilingual 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
• Dioula Bilingual evaluation