Remote Data Annotation Specialist – Frontier Model Evaluation

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

AuraOne is seeking a remote Generalist for Data Annotation to evaluate prompts and responses against a quality rubric. You’ll help turn outputs into auditable labels, rationales, and regression cases for Human Data, reviewing frontier model outputs and calibrating evaluators.

Responsibilities include selecting stronger answers with rationale, tagging issues, and routing ambiguous prompts for rubric updates. Strong attention to detail and async availability are essential.

Qualifications

• Prior evaluation, annotation, or human-rater experience on generalist for data annotation evaluation or adjacent content.
• Clear written reasoning that names the issue and rubric clause.
• Strong attention to detail and ability to flag when a prompt is the problem.

Responsibilities

• Evaluate model outputs against a versioned rubric and assign severity tags for Generalist for Data Annotation assignments.
• 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 them back to the program team for rubric updates.

Job description

AuraOne is seeking a remote Generalist for Data Annotation to evaluate prompts and responses against a quality rubric. You’ll help turn outputs into auditable labels, rationales, and regression cases for Human Data, reviewing frontier model outputs and calibrating evaluators.

Responsibilities include selecting stronger answers with rationale, tagging issues, and routing ambiguous prompts for rubric updates. Strong attention to detail and async availability are essential.