Visual Evaluation Specialist

AI Trainer Jobs; United States; Remote; USD 27,552,000 - 49,594,000; Part time

Job summary

AuraOne seeks a Visual Evaluation Specialist for remote, contractor work. You will review prompts and responses, evaluate outputs, and provide structured feedback to retrain the model.

Expect to compare paired results, label edge cases, and document reasoning using a versioned rubric. Applicants should have prior evaluation experience, strong attention to detail, and reliable async availability for at least 10 hours per week.

Qualifications

• Prior evaluation, annotation, or human-rater experience in visual evaluation.
• Ability to apply rubrics consistently across long batches.
• Strong written reasoning that names issues and rubric clauses.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger with rationale.
• Label hallucinations and unsafe content with structured tags.
• Capture ambiguous prompts and route for rubric updates.
• Maintain reviewer-quality scores by calibration against gold-standard examples.

Skills

Attention to detail

Clear written reasoning

Async availability

Linguistics background

Job description

Visual Evaluation Specialist is a remote evaluation track for reviewing visual evaluation 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.

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

Visual Evaluation Specialist is a remote evaluation track for reviewing visual evaluation evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Visual Evaluation Specialist is a remote evaluation track for reviewing visual evaluation 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 visual evaluation 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 visual evaluation evaluation model outputs against a versioned rubric and assign severity tags for Visual Evaluation Specialist 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.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 visual evaluation evaluation or adjacent content for Visual Evaluation 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.

Example tasks

• Compare two visual evaluation 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
• Visual Evaluation evaluation
• Design

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

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 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.