Remote Quant Analyst: AI Model Auditor & Validator

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr Corp. seeks a Quantitative Analyst (Quant) for AI training to critique and improve AI-generated financial models. This remote hourly contract role emphasizes independence, strong quantitative skills, and the ability to communicate findings clearly to non-technical audiences.

You will analyze AI outputs, validate data pipelines, and summarize results for ongoing evaluations of quantitative frameworks, with flexible scheduling and potential for continued work on new projects.

Qualifications

• Strong background in quantitative finance, statistics, applied mathematics, or data science.
• Deep understanding of modeling techniques, statistical inference, and predictive analytics.
• Able to interpret complex model behavior and communicate findings clearly to non-technical audiences.
• Naturally detail-oriented — you notice when a number doesn't add up or an assumption doesn't hold.
• Self-motivated and independent when working without supervision.

Responsibilities

• Analyze AI-generated quantitative models for mathematical validity and statistical soundness.
• Evaluate predictive model performance and identify flawed or anomalous behavior.
• Validate data pipelines, feature sets, and transformation logic for correctness and reliability.
• Summarize complex quantitative findings in clear, structured, actionable formats.
• Flag inconsistencies, recalibration needs, or gaps in model assumptions.
• Support recurring evaluations of quantitative frameworks and simulation outputs.
• Work independently and asynchronously — full autonomy over schedule.

Skills

Quantitative finance

Statistics

Applied mathematics

Data science

Tools

Python

R

NumPy

pandas

statsmodels

Job description

Alignerr Corp. seeks a Quantitative Analyst (Quant) for AI training to critique and improve AI-generated financial models. This remote hourly contract role emphasizes independence, strong quantitative skills, and the ability to communicate findings clearly to non-technical audiences.

You will analyze AI outputs, validate data pipelines, and summarize results for ongoing evaluations of quantitative frameworks, with flexible scheduling and potential for continued work on new projects.