Quantitative Analyst (AI Training)

DataAnnotation; New Zealand; Remote; NZD 142,000 - 202,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Project-based work

Job summary

DataAnnotation is seeking a quantitative finance professional to craft prompts that probe pricing, risk, and portfolio construction while reviewing AI-generated analyses for accuracy. You will rate reasoning and write corrective, rigorous analyses when models underperform.

No formal degree is required; emphasis is on demonstrated capability and strong mathematical fluency. Flexible, remote, project-based work arrangement supports continual contributor availability.

Qualifications

• Professional experience in quantitative finance, trading, or risk, or a strong research background.
• Fluency with underlying mathematics: probability, statistics, and stochastic methods.
• Clear written English: explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Responsibilities

• Write prompts that probe quantitative reasoning: pricing, risk, portfolio construction, and statistical modeling.
• Review AI output for flawed derivations, misused models, and misread data, and rate the reasoning.
• Write the correct analysis when the model falls short, with the rigor of a desk-quality review.

Skills

Quantitative finance

Math background

Probability/Statistics

Written English

Job description

Overview

Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.

Overview

Models handle textbook finance fine and fall apart on the real thing: mispriced risk, subtly wrong derivations, and models that ignore market microstructure.

What you’ll actually do

• Write prompts that probe quantitative reasoning: pricing, risk, portfolio construction, and statistical modeling.
• Review AI output for flawed derivations, misused models, and misread data, and rate the reasoning.
• Write the correct analysis when the model falls short, with the rigor of a desk-quality review.

Roles this fits

Common backgrounds: Quantitative Analyst, Quant Researcher.

What we look for

• Professional experience in quantitative finance, trading, or risk, or a strong research background.
• Fluency with the underlying mathematics: probability, statistics, and stochastic methods.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Compensation

Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k-$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.