Luganda Language Expert

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

Job summary

AuraOne is seeking a Luganda Language Expert for a remote evaluation track to review Luganda prompts and model outputs against a quality rubric. Reviewers compare paired outputs, label edge cases, and draft structured feedback for retraining.

As a remote independent contractor, you will help produce auditable labels, rationales, and regression cases for AuraOne Human Data. Review frontier model outputs and calibrate peers as part of the program.

Qualifications

• Experience evaluating Luganda language evaluation or related content.
• Ability to apply rubrics consistently across long batches.
• Clear written reasoning naming the issue and rubric clause.

Responsibilities

• Evaluate Luganda language outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to rubric updates.
• Calibrate reviewer scores against gold-standard examples weekly.

Skills

Luganda evaluation

Inter-rater calibration

Written reasoning

Job description

Role details

Luganda Language Expert is a remote evaluation track for reviewing luganda 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

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

About the role

Luganda Language Expert is a remote evaluation track for reviewing luganda 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.

AI data reviewers help turn luganda 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 luganda language evaluation model outputs against a versioned rubric and assign severity tags for Luganda 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 luganda language evaluation or adjacent content for Luganda 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.

Role signals

Example tasks

• Compare two luganda 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
• Luganda 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.