Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Job summary
AuraOne is seeking a remote Cross-Modal Retrieval Model Evaluator to review prompts and model outputs against a quality rubric. You will compare paired responses, label edge cases, and provide structured feedback for the modeling team to retrain. This contractor role requires careful labeling, documenting recurring failure modes, and maintaining calibration against gold standards each week. Applicants should be authorized to work from the United States and comfortable with async collaboration.
Qualifications
Experience evaluating cross-modal model outputs against rubrics.
Ability to name issues and map them to rubric clauses.
Strong attention to detail and written reasoning.
Responsibilities
Evaluate cross-modal retrieval model evaluation outputs against a versioned rubric and assign severity tags for 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.
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
Cross Modal Retrieval Model evaluation
Multimodal evaluation
Cross-modal reasoning
Grounding review
Cross
Modal
Retrieval
Job description
AuraOne is seeking a remote Cross-Modal Retrieval Model Evaluator to review prompts and model outputs against a quality rubric. You will compare paired responses, label edge cases, and provide structured feedback for the modeling team to retrain. This contractor role requires careful labeling, documenting recurring failure modes, and maintaining calibration against gold standards each week. Applicants should be authorized to work from the United States and comfortable with async collaboration.