Construction Site Vision Failure Analyst

AI Trainer Jobs; United States; Remote; USD 34,440,000 - 55,104,000; Full time

Job summary

AuraOne seeks a remote contractor to act as a Construction Site Vision Failure Analyst, reviewing model outputs against a quality rubric and providing structured feedback. You will compare responses, label edge cases, and contribute to retraining data for ongoing improvement.

Ideal candidates will have experience in evaluation, annotation, or trust & safety review, with strong written reasoning and attention to detail. Remote work eligible for US-based contractors.

Qualifications

• Experience with evaluation, annotation, or human-rater activity in AI/vision tasks.
• Clear written reasoning that names the issue and the rubric clause applied.
• Strong attention to detail and the ability to flag when a prompt is the problem.

Responsibilities

• Evaluate model 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 with structured tags.
• Capture ambiguous prompts and route them for rubric updates.

Skills

Inter-rater calibration

Job description

Construction Site Vision Failure Analyst is a remote evaluation track for reviewing construction site vision failure analyst evaluation prompts and responses against AuraOne's quality rubric.

Category: Video, Vision & Spatial AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Construction Site Vision Failure Analyst is a remote evaluation track for reviewing construction site vision failure analyst evaluation prompts and responses against AuraOne's quality rubric.

About the role

Construction Site Vision Failure Analyst is a remote evaluation track for reviewing construction site vision 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.
AI data reviewers help turn construction site vision failure analyst evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review image and video output. Judge spatial reasoning and scene understanding.

Responsibilities

• Evaluate construction site vision failure analyst evaluation model outputs against a versioned rubric and assign severity tags for Construction Site Vision 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on construction site vision failure analyst evaluation or adjacent content for Construction Site Vision 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 construction site vision 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.

Useful experience

• 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.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

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

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.