Top 2 Quantitative model Jobs in Remote

Algorithmic Complexity Model Evaluator
AuraOne Human Data —Remote
- Remote
- Writing skills
- Mid-level
- Quality control
4d
Lean Theorem Model Evaluator
AuraOne Human Data —Remote
- Remote
- Doctor of Philosophy
- US work authorization
- Senior level
4d

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Lean Theorem Model Evaluator
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Graduate-level training or equivalent applied experience in lean theorem model research review or a closely related field for Lean Theorem Model Evaluator work.
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Algorithmic Complexity Model Evaluator

AuraOne Human Data
Remote

Apply Now

Job Details

4 days ago

Qualifications

Writing skills
Mid-level
Linguistics
Quality performance measurement
Quality control
Document quality checks
Quantitative analysis
Model evaluation
Content review
Linguistics

Full Job Description

Algorithmic Complexity Model Evaluator is a remote evaluation track for reviewing algorithmic complexity 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 algorithmic complexity model evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

Evaluate algorithmic complexity model evaluation model outputs against a versioned rubric and assign severity tags for Algorithmic Complexity 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 algorithmic complexity model evaluation or adjacent content for Algorithmic Complexity 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 algorithmic complexity 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
Algorithmic Complexity Model evaluation
Formal reasoning
Proof review
Quantitative analysis
Algorithmic
Complexity

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.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Apply Now

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