Remote Bilingual Russian Psychologist (PhD) — AI Evaluator

AuraOne, Inc.; United States; Remote; USD 34,000 - 62,000; Full time

Benefits offered by this job

Remote work

Contractor role

Job summary

AuraOne, Inc. is seeking a Bilingual Russian Psychologist (PhD) for a remote evaluation track, reviewing Russian generalist evaluation prompts and responses against AuraOne's quality rubric.

Reviewers compare paired outputs, label edge cases, and write structured feedback for retraining. Responsibilities include evaluating model outputs, selecting stronger answers with rationale, labeling edge cases, and documenting recurring failure modes for rubric updates.

Qualifications

• Prior evaluation, annotation, or human-rater experience on russian generalist evaluation or adjacent content.
• 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.

Responsibilities

• Evaluate russian generalist evaluation model outputs against a versioned rubric and assign severity tags for Bilingual Russian Psychologist (PhD) 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

Russian generalist evaluation

Job description

AuraOne, Inc. is seeking a Bilingual Russian Psychologist (PhD) for a remote evaluation track, reviewing Russian generalist evaluation prompts and responses against AuraOne's quality rubric.

Reviewers compare paired outputs, label edge cases, and write structured feedback for retraining. Responsibilities include evaluating model outputs, selecting stronger answers with rationale, labeling edge cases, and documenting recurring failure modes for rubric updates.