Remote Applied Philosophy Benchmark Analyst

AI Trainer Jobs; United States; Remote; USD 69,000 - 87,000; Full time

Job summary

AI Trainer Jobs seeks an Applied Philosophy Benchmark Specialist for a remote review track to evaluate AI outputs across benchmark research, review reasoning, and research workflows. Reviewers grade derivations and reproduce key results to document the correct method for training.

As a contractor, you will reproduce and sanity-check derivations, flag errors with structured severity tags, and capture the corrected reasoning for the modeling team.

Qualifications

• Graduate-level training or equivalent in applied philosophy benchmark research review or a closely related field.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply rubrics consistently across long batches.

Responsibilities

• Review AI outputs against current applied philosophy benchmark research review methods, conventions, and prior work.
• 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Applied Philosophy Benchmark research

Education

PhD or equivalent

Job description

AI Trainer Jobs seeks an Applied Philosophy Benchmark Specialist for a remote review track to evaluate AI outputs across benchmark research, review reasoning, and research workflows. Reviewers grade derivations and reproduce key results to document the correct method for training.

As a contractor, you will reproduce and sanity-check derivations, flag errors with structured severity tags, and capture the corrected reasoning for the modeling team.