Helpfulness Ranking Reward Model Evaluator

AuraOne, Inc.; United States; A distancia; USD 34.000 - 55.000; Jornada completa

Descripción de la vacante

AuraOne, Inc. is seeking a remote Helpfulness Ranking Reward Model Evaluator to assess paired model outputs against a versioned rubric. You will label edge cases, annotate severity, and generate structured feedback to help retrain the model.

This contractor role requires careful written reasoning, attention to detail, and reliable availability for at least 10 hours per week, with compensation discussed after interviews.

Formación

• Prior evaluation, annotation, or human-rater experience on helpfulness ranking reward model evaluation or adjacent content.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Reliable async availability for at least 10 hours per week.

Responsabilidades

• Compare two helpfulness ranking reward model evaluation model outputs to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Conocimientos

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Helpfulness Ranking Reward Model evalu

Preference ranking

RLHF

Rater calibration

Helpfulness

Ranking

Descripción del empleo

Helpfulness Ranking Reward Model Evaluator is a remote evaluation track for reviewing helpfulness ranking reward model 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 helpfulness ranking reward model evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate helpfulness ranking reward model evaluation model outputs against a versioned rubric and assign severity tags for Helpfulness Ranking Reward Model Evaluator 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 helpfulness ranking reward model evaluation or adjacent content for Helpfulness Ranking Reward Model Evaluator 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 helpfulness ranking reward model 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
• Helpfulness Ranking Reward Model evaluation
• Preference ranking
• RLHF
• Rater calibration
• Helpfulness
• Ranking

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.

Prior evaluation, annotation, or human-rater experience on helpfulness ranking reward model evaluation or adjacent content for Helpfulness Ranking Reward Model Evaluator 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.