Image Evaluation Generalist

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

Job summary

AI Trainer Jobs is seeking a remote Image Evaluation Generalist reviewer. You will assess model outputs against a versioned rubric, label issues, and provide structured feedback to aid retraining.

The role involves judging image outputs, comparing responses, and tagging content for safety and instruction-following. Experience in evaluation or content moderation, strong writing skills, and the ability to work asynchronously for at least 10 hours weekly are essential.

Qualifications

• Prior evaluation, annotation or human-rater experience on image evaluation generalist work.
• Ability to apply a multi-page rubric consistently across long batches.
• Clear written reasoning naming the issue and rubric clause applied.
• Strong attention to detail and capacity to flag prompt problems.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, policy violations, and unsafe content with tags.
• Capture ambiguous prompts and route to refine rubrics.
• Calibrate reviewer quality against gold-standard examples weekly.

Skills

Evaluation experience

Annotation

Attention to detail

Clear written reasoning

Async availability

Job description

About the role

Image Evaluation Generalist is a remote evaluation track for reviewing image evaluation generalist 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 image evaluation generalist 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 image evaluation generalist evaluation model outputs against a versioned rubric and assign severity tags for Image Evaluation Generalist 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.

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 image evaluation generalist evaluation or adjacent content for Image Evaluation Generalist 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 evaluation generalist 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
• Image Evaluation Generalist evaluation