Remote Hindi STEM Reviewer - Derivations & Validation

AuraOne, Inc.; USA; Remote; USD 23.000 - 32.000; Teilzeit

Zusammenfassung

AuraOne, Inc. seeks a Hindi STEM Translation Reviewer to evaluate AI outputs across Hindi stem review reasoning, calculations, and research workflows.

This remote contractor role involves grading derivations, reproducing key results, and documenting the correct method to train the modeling team. You will review methods, cite sources, and flag errors with structured notes, contributing to rigorous evaluation pipelines while maintaining reviewer-quality scores across batches.

Qualifikationen

• Graduate-level training or equivalent in hindi stem review or related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Aufgaben

• Review AI outputs against current hindi stem review methods, conventions, and prior work for Hindi STEM Translation Reviewer assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Kenntnisse

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Hindi STEM review

Ausbildung

Graduate-level training or equivalent applied experience in hindi stem review or a closely related field

Jobbeschreibung

AuraOne, Inc. seeks a Hindi STEM Translation Reviewer to evaluate AI outputs across Hindi stem review reasoning, calculations, and research workflows.

This remote contractor role involves grading derivations, reproducing key results, and documenting the correct method to train the modeling team. You will review methods, cite sources, and flag errors with structured notes, contributing to rigorous evaluation pipelines while maintaining reviewer-quality scores across batches.