Remote Household Data Quality Auditor | Video Capture

AuraOne; United States; Remote; USD 34,000 - 69,000; Full time

Job summary

AuraOne is seeking a Remote Household Data Video Capture evaluation specialist to review model outputs against a versioned rubric and provide structured feedback. You will compare paired responses, label issues, and calibrate scores to maintain high reviewer quality.

Ideal candidates bring prior experience in data evaluation, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week from a remote location.

Qualifications

• Prior evaluation, annotation, or human-rater experience on remote household data video capture evaluation or adjacent content.
• 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.

Responsibilities

• Evaluate remote household data video capture evaluation model outputs against a versioned rubric and assign severity tags for 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Remote Household Data Video Capture

Design

Job description

AuraOne is seeking a Remote Household Data Video Capture evaluation specialist to review model outputs against a versioned rubric and provide structured feedback. You will compare paired responses, label issues, and calibrate scores to maintain high reviewer quality.

Ideal candidates bring prior experience in data evaluation, strong written reasoning, and the ability to work asynchronously for at least 10 hours per week from a remote location.