Health Data Analyst - AI Trainer

DataAnnotation; Town of Montana (WI); Remote; USD 69,000 - 138,000; Full time

Benefits offered by this job

Flexible project selection

Work from home

Pay via PayPal

Job summary

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated analyses, solve technical problems, and provide feedback shaping how systems reason about data and science.

Background in data science, economics, physics, or related fields is welcome, with some team members balancing this with another role. Compensation is hourly with rates starting at $50–$100+/hr and bonus rates on some projects.

Qualifications

• 3+ years of hands-on experience in a quantitative role or research environment.
• Coding experience with end-to-end analytical code.
• Practical experience with statistical methods, predictive modeling, and experiment design.
• Fluency in English with strong writing skills.
• Bachelor's degree in a quantitative field preferred; Master’s/PhD a plus.
• Credentials like Kaggle or cloud ML certifications are a plus.

Responsibilities

• Evaluate AI-generated quantitative work for technical accuracy and real-world validity.
• Design and solve quantitative problems for training and benchmarking AI systems.
• Write clear technical explanations and well-documented analytical code.
• Provide feedback that shapes the next generation of AI models for quantitative reasoning.

Skills

Quantitative analysis

Statistical methods

Coding experience

English writing

Team collaboration

Education

Bachelor's degree in a quantitative field

Advanced degree advantageous

Tools

Python

R

Job description

About The Job

We are looking for an existing quantitative professional to help train AI models. In this role, you will work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analyses, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

About The Job

We are looking for an existing quantitative professional to help train AI models. In this role, you will work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analyses, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

Advantages Of Contracting With Us

• You'll be able to choose which projects you want to work on and when
• You work on your own schedule, on your own computer, from the comfort of your own home
• Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities

• Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
• Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well-documented analytical code.
• Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications

• 3+ 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 any adjacent field.
• Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
• Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
• Fluency in English (native or bilingual level) with strong writing skills.
• A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master's or PhD) is a plus.
• Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

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