Remote Retail & Pharmacy Evaluation Specialist

AI Trainer Jobs; United States; Remote; USD 76,000 - 90,000; Full time

Job summary

AI Trainer Jobs is seeking a remote contractor for a Retail and Pharmacy Practice Reviewer role. You will evaluate model outputs against a versioned rubric, label edge cases, and provide structured feedback to retrain AuraOne’s models.

Strong written reasoning and attention to detail are essential, with at least 10 hours per week of availability. Responsibilities include comparing paired responses, selecting the stronger answer with rationale, and tagging content for policy and safety.

Qualifications

• Prior evaluation, annotation, or human-rater experience on retail and pharmacy practice evaluation or adjacent content.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and ability to flag when a prompt is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate retail and pharmacy practice evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to program team for rubric updates.

Skills

Evaluation experience

Annotation

Human-rater

Inter-rater agreement

Linguistics background

Education

Experience with retail/pharmacy practice evaluation

Tools

Rubric-based annotation

Job description

AI Trainer Jobs is seeking a remote contractor for a Retail and Pharmacy Practice Reviewer role. You will evaluate model outputs against a versioned rubric, label edge cases, and provide structured feedback to retrain AuraOne’s models.

Strong written reasoning and attention to detail are essential, with at least 10 hours per week of availability. Responsibilities include comparing paired responses, selecting the stronger answer with rationale, and tagging content for policy and safety.