AI Trainer (Life Sciences) — Remote AI Evaluation

AuraOne Human Data; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

AuraOne, Inc. is seeking an AI Trainer (Life Sciences) for a remote evaluation track. You will review ai trainer prompts and responses, label edge cases, and provide structured feedback to help retrain models.

This is a remote contractor role focused on QA of trainer outputs and improvement of rubrics. The ideal candidate has experience in evaluation or annotation of AI trainer data, strong attention to detail, and the ability to work asynchronously for at least 10 hours per week from the United

Qualifications

• Experience with AI trainer evaluation or similar content labeling.
• Ability to apply multi-page rubrics consistently across large batches.
• Clear written reasoning identifying issues and rubric clauses.
• Strong attention to detail and ability to flag prompts as problems.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate ai trainer evaluation model outputs against a versioned rubric and assign severity tags for AI Trainer (Life Sciences) — Remote AI Evaluation 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

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

AI Trainer evaluation

AI model evaluation

Job description

AI Trainer (Life Sciences) — Remote AI Evaluation 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 (Life Sciences) — Remote AI Evaluation 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 (Life Sciences) — Remote AI Evaluation 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.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Prior evaluation, annotation, or human-rater experience on ai trainer evaluation or adjacent content for AI Trainer (Life Sciences) — Remote AI Evaluation 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.