Formal Specification Reasoning Reviewer

AuraOne, Inc.

United States

Remote

USD 34,000 - 62,000

Full time

14 days+
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Job summary

AuraOne, Inc. is seeking a Formal Specification Reasoning Reviewer to remotely evaluate model outputs against a versioned rubric. You will label edge cases, provide rationales, and help generate regression cases for retraining the model.

The role emphasizes clear written reasoning, attention to detail, and the ability to calibrate judgments across long batches. Remote contract work with flexible weekly hours is offered.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on formal specification reasoning evaluation or adjacent content for Formal Specification Reasoning Reviewer 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.

Responsibilities

  • Evaluate formal specification reasoning evaluation model outputs against a versioned rubric and assign severity tags for Formal Specification Reasoner 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 evaluation
Rubric annotation
Severity tagging
Inter-rater calibration
Formal spec evaluation
Formal reasoning
Proof review
Quantitative analysis
Formal
Specification

Job description

Formal Specification Reasoning Reviewer is a remote evaluation track for reviewing formal specification reasoning 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 formal specification reasoning evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate formal specification reasoning evaluation model outputs against a versioned rubric and assign severity tags for Formal Specification Reasoning Reviewer 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 formal specification reasoning evaluation or adjacent content for Formal Specification Reasoning Reviewer 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 formal specification reasoning 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
  • Formal Specification Reasoning evaluation
  • Formal reasoning
  • Proof review
  • Quantitative analysis
  • Formal
  • Specification
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.

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