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AuraOne, Inc. is seeking a remote Low-Resource Language Cultural Context Reviewer to evaluate prompts and responses against its quality rubric. You will compare paired outputs, label edge cases, and write structured feedback for retraining.
As a contractor, you will work remotely with US eligibility, reviewing and tagging outputs, keeping calibration with gold standards, and reporting recurring failures to improve future training runs.
Low-Resource Language Cultural Context Reviewer is a remote evaluation track for reviewing low resource language cultural context 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 low resource language cultural context evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.
Hourly rate confirmed after the interview process.
Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.
Prior evaluation, annotation, or human-rater experience on low resource language cultural context evaluation or adjacent content for Low-Resource Language Cultural Context Reviewer 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.