Constraint Solving Reasoning Reviewer

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

Job summary

AuraOne is seeking a Constraint Solving Reasoning Reviewer to remotely evaluate prompts and responses against our quality rubric. You will compare paired outputs, label edge cases, and draft structured feedback for retraining the modeling team.

As a contractor, you will review frontier model outputs, judge benchmark failures, and calibrate other evaluators. Strong written reasoning and attention to detail are essential for success in this role.

Qualifications

• Experience evaluating constraint solving reasoning evaluation or adjacent content for Constraint Solving Reasoning Reviewer work.
• Ability apply 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 constraint solving reasoning evaluation model outputs against a versioned rubric and assign severity tags for Constraint Solving 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.

Skills

Model evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Constraint solving

Formal reasoning

Proof review

Quantitative analysis

Constraint

Solving

Job description

Constraint Solving Reasoning Reviewer is a remote evaluation track for reviewing constraint solving 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.

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Constraint Solving Reasoning Reviewer is a remote evaluation track for reviewing constraint solving reasoning evaluation prompts and responses against AuraOne's quality rubric.

About the role

Constraint Solving Reasoning Reviewer is a remote evaluation track for reviewing constraint solving 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.
AI data reviewers help turn constraint solving reasoning evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate constraint solving reasoning evaluation model outputs against a versioned rubric and assign severity tags for Constraint Solving 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on constraint solving reasoning evaluation or adjacent content for Constraint Solving 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.

Role signals

Example tasks

• Compare two constraint solving 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.

Useful experience

• 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.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Constraint Solving Reasoning evaluation
• Formal reasoning
• Proof review
• Quantitative analysis
• Constraint
• Solving

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.