Remote Computer Vision Evaluation & Annotation Specialist

AuraOne; United States; On-site; USD 28,000 - 55,000; Full time

Job summary

AuraOne seeks a Computer Vision Data Annotation Specialist to remotely evaluate model outputs, apply a versioned rubric, and provide structured feedback for retraining. The contractor will compare responses, label errors, and capture ambiguities for rubric updates.

Responsibilities include rating severity, calibrating against gold standards weekly, and documenting recurring failure modes. Remote US eligibility and contractor status apply.

Qualifications

• Prior evaluation, annotation, or human-rater experience on computer vision data annotation evaluation or adjacent content for Computer Vision Data Annotation Specialist 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 computer vision data annotation evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select 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

CV data annotation evaluation

Job description

AuraOne seeks a Computer Vision Data Annotation Specialist to remotely evaluate model outputs, apply a versioned rubric, and provide structured feedback for retraining. The contractor will compare responses, label errors, and capture ambiguities for rubric updates.

Responsibilities include rating severity, calibrating against gold standards weekly, and documenting recurring failure modes. Remote US eligibility and contractor status apply.