Quantitative Analyst (Quant)

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

Quantitative Analyst (Quant) — AI Training

About The Role

What if your quantitative expertise could directly shape how AI reasons about financial models, risk, and forecasting for millions of users worldwide? We're looking for Quantitative Analysts to evaluate, critique, and improve AI-generated mathematical and statistical outputs — ensuring the models AI produces are sound, well-reasoned, and actually work the way they should.

This is a fully remote, flexible contract role. If you have a strong foundation in quantitative finance, statistics, or applied mathematics and a sharp eye for model behavior, this role was built for you.

• Type: Hourly Contract
• Location: Remote
• Commitment: Flexible — work on your own schedule

What You'll Do

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

Who You Are

• 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 consistent when working independently without supervision

Nice to Have

• Hands-on experience with Python, R, or quantitative modeling libraries (NumPy, pandas, statsmodels, etc.)
• Background in risk analysis, algorithmic trading, or financial engineering
• Experience reviewing or auditing quantitative models in a professional setting
• Familiarity with AI tools or model evaluation workflows

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Make a direct, tangible impact on how AI understands and applies quantitative reasoning at scale
• Potential for ongoing work and contract extension as new projects launch