AI Training Expert - Remote Model Output Review

AuraOne; United States; À distance; USD 34 000 - 69 000; Temps partiel

Résumé du poste

AuraOne is seeking an AI Training Expert to remotely review model outputs against our quality rubric. This contractor role involves evaluating paired outputs, labeling edge cases, and providing structured feedback to help retrain the model.

Work is remote and US-eligible, with hours flexible and an hourly rate to be confirmed after interview. The ideal candidate has experience with rubric-based annotation, identifying hallucinations and instruction-following failures, and clear written reasoning.

Qualifications

• Prior evaluation, annotation, or human-rater experience on ai training evaluation or adjacent content.
• 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.

Responsabilités

• Evaluate ai training evaluation model outputs against a versioned rubric and assign severity tags for AI Training Expert - Remote Model Output Review 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.

Connaissances

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

AI Training evaluation

AI model evaluation

Description du poste

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

AI Training Expert - Remote Model Output Review is a remote evaluation track for reviewing ai training 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 ai training evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate ai training evaluation model outputs against a versioned rubric and assign severity tags for AI Training Expert - Remote Model Output Review 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 ai training evaluation or adjacent content for AI Training Expert - Remote Model Output Review 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 ai training 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
• AI Training evaluation
• AI model evaluation

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.