Senior AI Trainer

AuraOne; United States; Remote; USD 34,000 - 83,000; Full time

Job summary

AuraOne seeks a Senior AI Trainer evaluation contractor to review prompts and model outputs against our quality rubric. You will compare paired responses, label edge cases, and write structured feedback that helps retrain our systems.

This remote, independent contractor role is US-eligible, with reliable async availability for at least 10 hours per week. Compensation is hourly and discussed after interview, focusing on consistency and clear rationale.

Qualifications

• Prior evaluation, annotation, or human-rater experience on senior ai trainer 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.

Responsibilities

• Evaluate senior ai trainer evaluation outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a rationale.
• Label hallucinations, instruction-following failures, and unsafe content with tags.
• Capture ambiguous prompts and route them for rubric updates.
• Calibrate reviewer-quality scores against gold-standard examples weekly.
• Document recurring failure modes for future training iterations.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Senior AI Trainer evaluation

AI model evaluation

Job description

Senior AI Trainer is a remote evaluation track for reviewing senior 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 senior ai trainer evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate senior ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Senior AI Trainer 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 senior ai trainer evaluation or adjacent content for Senior AI Trainer 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 senior 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
• Senior AI Trainer 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.

Prior evaluation, annotation, or human-rater experience on senior ai trainer evaluation or adjacent content for Senior AI Trainer 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.