Kinyarwanda Language Expert

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

Job summary

AuraOne seeks a Kinyarwanda Language Expert for a remote evaluation track. You will review prompts and responses against a quality rubric, label edge cases, and provide structured feedback to support retraining.

As a contractor working remotely in the US, you will compare outputs, assign severity tags, and contribute to calibration cycles while maintaining high reviewer quality on a flexible schedule.

Qualifications

• Experience evaluating or annotating Kinyarwanda language data.
• Ability to apply rubrics consistently across batches.
• Clear written reasoning that names issues and rubric clauses.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide rationale for the stronger answer.
• Label hallucinations and unsafe content with structured tags.
• Flag ambiguous prompts and suggest rubric updates.
• Maintain reviewer quality scores and calibrate against gold-standard examples.

Skills

Kinyarwanda language evaluation

Attention to detail

Written reasoning

Independent work

Tools

Annotation tools

Job description

Kinyarwanda Language Expert is a remote evaluation track for reviewing kinyarwanda language 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

Kinyarwanda Language Expert is a remote evaluation track for reviewing kinyarwanda language evaluation prompts and responses against AuraOne's quality rubric.

About the role

Kinyarwanda Language Expert is a remote evaluation track for reviewing kinyarwanda language evaluation prompts and responses against AuraOne's quality rubric.
AI data reviewers help turn kinyarwanda language 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 kinyarwanda language evaluation model outputs against a versioned rubric and assign severity tags for Kinyarwanda Language 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 kinyarwanda language evaluation or adjacent content for Kinyarwanda Language 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 kinyarwanda language 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
• Kinyarwanda Language 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

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 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.