Entry-Level Image Evaluation Specialist

AuraOne, Inc.

United States

Remote

USD 57,000 - 81,000

Full time

14 days+

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Benefits offered by this job

Remote work
Contractor status

Job summary

AuraOne, Inc. is seeking an Entry-Level Image Evaluation Specialist for a remote contractor role. You will review image AI trainer evaluation prompts and responses against AuraOne's rubric, label edge cases, and provide structured feedback to help retrain models.

This position emphasizes careful analysis, written rationale, and consistency across batches, with ~10 hours per week of asynchronous work from anywhere in the US.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on image ai trainer evaluation or adjacent content for Entry-Level Image 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.

Responsibilities

  • Evaluate image ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Entry-Level Image 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.
  • 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
Image AI Trainer evaluation
AI model evaluation
Analytical thinking
LLM experience

Job description

Entry-Level Image Evaluation Specialist is a remote evaluation track for reviewing image ai trainer 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 image ai trainer evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate image ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Entry-Level Image 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.
  • 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 image ai trainer evaluation or adjacent content for Entry-Level Image 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 image ai trainer 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
  • Image AI Trainer evaluation
  • AI model evaluation
  • Analytical thinkingLLM experience
  • Data annotation
  • Literacy
  • Presentation developmentAI
Work model

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

Compensation

$50 / hr

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