Remote 360° Video Evaluation Specialist

AuraOne, Inc.; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne, Inc. seeks a detail-oriented reviewer to evaluate 360° video recorder outputs and assign structured labels. This remote contractor role focuses on quality assessment, rubric-based annotation, and documenting edge cases for retraining.

You will compare model outputs, justify the chosen result, and flag issues for rubric updates. Candidates should bring prior annotation experience, strong written reasoning, and reliable weekly availability.

Qualifications

• Prior evaluation, annotation, or human-rater experience on 360 video recorder evaluation or adjacent content for 360° Video Recorder (Insta360 / GoPro MAX) 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.

Responsibilities

• Evaluate 360 video recorder evaluation model outputs against a versioned rubric and assign severity tags for 360° Video Recorder (Insta360 / GoPro MAX) 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

360 Video Recorder evaluation

Design

Job description

AuraOne, Inc. seeks a detail-oriented reviewer to evaluate 360° video recorder outputs and assign structured labels. This remote contractor role focuses on quality assessment, rubric-based annotation, and documenting edge cases for retraining.

You will compare model outputs, justify the chosen result, and flag issues for rubric updates. Candidates should bring prior annotation experience, strong written reasoning, and reliable weekly availability.