AI Trainer - Generalist

AI Trainer Jobs; United States; Remote; USD 34,000 - 49,000; Part time

Job summary

AuraOne is seeking an AI Trainer - Generalist for a remote evaluation track. Review prompts and responses against our quality rubric, compare outputs, and provide structured feedback to help retrain the model.

You will label edge cases, capture ambiguities, and calibrate reviews weekly. This is a remote contractor role with a pay of $30 per hour, US-eligible, and requires strong written reasoning and attention to detail.

Qualifications

• Prior evaluation, annotation, or human‑rater experience on ai trainer generalist evaluation or adjacent content for AI Trainer - 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.

Responsibilities

• Evaluate ai trainer generalist evaluation model outputs against a versioned rubric and assign severity tags for AI Trainer - 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.

Skills

Evaluation experience

Rubric application

Clear reasoning

Attention to detail

Async availability

Job description

AI Trainer - Generalist is a remote evaluation track for reviewing ai trainer 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.

Category: Frontier Model Evaluation · Pay: $30 / hr · Location: Remote — US-eligible · Contractor

AI Trainer - Generalist is a remote evaluation track for reviewing ai trainer generalist evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

AI Trainer - Generalist is a remote evaluation track for reviewing ai trainer 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 ai trainer generalist evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate ai trainer generalist evaluation model outputs against a versioned rubric and assign severity tags for AI Trainer - 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.

What you should bring

• Prior evaluation, annotation, or human‑rater experience on ai trainer generalist evaluation or adjacent content for AI Trainer - 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 ai trainer 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

$30 / hr
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
• AI Trainer Generalist evaluation
• AI model evaluation