Senior AI Trainer (US Based)

AuraOne Human Data; United States; Remote; USD 28,000 - 50,000; Full time

Job summary

AuraOne, Inc. is seeking a Senior AI Trainer evaluation contractor based in the United States to support remote evaluation tasks. You will review senior AI trainer prompts and responses, label edge cases, and provide structured feedback to retrain models.

Responsibilities include comparing paired model outputs, tagging inaccuracies, and calibrating ratings against a versioned rubric. Strong attention to detail and ability to work asynchronously for at least 10 hours per week are required.

Qualifications

• Prior evaluation, annotation, or human-rater experience on senior AI trainer evaluation or related content (US-based).
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide 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 weekly.
• Document recurring failure modes so the modeling team can target them in retraining.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Senior AI Trainer evaluation

AI model evaluation

Job description

Senior AI Trainer (US Based) 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 (US Based) 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 (US Based) 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 (US Based) 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.