Quantitative Ai Developer Jobs

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Machine Learning Engineer - AI Trainer

DataAnnotation Washington, DC 🇺🇸 Remote

Washington, DC

Today

$50 - $100/hr Full time Ai Ml Ai Model Training Ai Trainer

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Job Description

DataAnnotation is seeking an experienced Machine Learning Engineer - AI Trainer to evaluate and support the training of AI systems focused on quantitative reasoning. This fully remote role involves reviewing AI-generated analytical work, building training and benchmark problems, and providing feedback that improves model performance on real-world data tasks.

Work is paid hourly and becomes available after you pass an assessment. Projects can be selected based on your schedule, with payment handled via PayPal.

Responsibilities

Review AI-generated quantitative outputs, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity.
Create and solve quantitative problems used to train and benchmark AI systems, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Deliver feedback that informs the next iteration of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or an adjacent field.
Some coding experience, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design, including examples like A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English (native or bilingual) with strong writing skills.
A bachelor’s degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar). A master’s or PhD is a plus.
Relevant credentials are a plus, such as Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, with up to $60 USD per hour for high-performing projects. Salary range listed is USD 50 - 100 per hourly.
Impact: contribute to AI systems that reason about data and analytics.

Location: Washington, DC (remote). Payment: via PayPal. DataAnnotation states that they will never ask candidates for money. Availability: this role is limited to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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