AI Trainer & Evaluator

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

Benefits offered by this job

Remote work

Contractor engagement

US-eligible

Job summary

AuraOne is seeking a remote AI Trainer & Evaluator contractor to review trainer prompts and responses against a quality rubric. You will compare outputs, label issues, and provide structured feedback to support model retraining.

Responsibilities include evaluating model outputs, tagging errors, and calibrating scores weekly, with a focus on precision and clear written rationales. This role is remote, US-eligible, and paid hourly after interview.

Qualifications

• Prior evaluation, annotation, or human-rater experience on ai trainer evaluation or adjacent content for AI Trainer & Evaluator work.

Responsibilities

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

Skills

Evaluation experience

Rubrics consistency

Written reasoning

Attention to detail

Async availability

Job description

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

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

Responsibilities

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