Spatial Reasoning Image Failure Analyst

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

Job summary

AuraOne, Inc. is seeking a Spatial Reasoning Image Failure Analyst for a remote contractor role in the United States. You will evaluate model outputs, apply rubrics, and tag edge cases to generate structured feedback for retraining.

Responsibilities include comparing responses, labeling unsafe content, and documenting recurring failures to improve future training. Requires strong attention to detail and at least 10 hours/week availability.

Qualifications

• Prior evaluation, annotation, or human-rater experience in spatial reasoning image failure analysis.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause applied.
• Strong attention to detail and ability to flag problematic prompts.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate 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.
• Capture ambiguous prompts and route to the program team for rubric updates.
• Calibrate reviewer-quality scores against gold-standard examples weekly.
• Document recurring failure modes to guide future training.

Skills

Model eval

Rubric annotation

Severity tagging

Inter-rater calibration

Spatial failure eval

Computer vision

Spatial reasoning

Video QA

Spatial

Reasoning

Image analysis

Job description

Spatial Reasoning Image Failure Analyst is a remote evaluation track for reviewing spatial reasoning image failure analyst 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.

Why this role matters

AI data reviewers help turn spatial reasoning image failure analyst evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate spatial reasoning image failure analyst evaluation model outputs against a versioned rubric and assign severity tags for Spatial Reasoning Image Failure Analyst 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.

Qualifications

• Prior evaluation, annotation, or human-rater experience on spatial reasoning image failure analyst evaluation or adjacent content for Spatial Reasoning Image Failure Analyst 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.

Example tasks

• Compare two spatial reasoning image failure analyst 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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Spatial Reasoning Image Failure Analyst evaluation
• Computer vision
• Spatial reasoning
• Video QA
• Spatial
• Reasoning
• Image

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Prior evaluation, annotation, or human-rater experience on spatial reasoning image failure analyst evaluation or adjacent content for Spatial Reasoning Image Failure Analyst 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.