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Today

Principal Data Scientist - AI Trainer

DataAnnotation Tampa, FL 🇺🇸 Remote

Tampa, FL

Today

$50 - $100/hr Contract Artificial Intelligence Data & Ai Data Analysis

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Job Description

DataAnnotation is hiring a Principal Data Scientist - AI Trainer to help train and evaluate AI models focused on quantitative reasoning. This fully remote contract role centers on assessing AI-generated work, building and benchmarking quantitative problem sets, and providing feedback that improves model performance. After completing an assessment, successful candidates can access paid projects on the platform.

The position supports a flexible, project-based workflow and pays hourly. Work can be done on your own computer, and projects may vary depending on the training and evaluation needs for quantitative reasoning tasks.

Responsibilities

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

Requirements

3+ years of hands-on experience in a quantitative role or research environment (for example, data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related field).
Some coding experience and the ability to write and review analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design such as 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 a strong Kaggle Competition ranking or AWS/GCP ML certifications (or equivalent demonstrated expertise).

Technologies

Contract Details and Location

Location: Tampa, FL (remote)
Job type: contract
Compensation: USD 50 to 100 per hour

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and work timing, using your own computer.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: contribute to AI systems designed to reason about data and analytics.

Assessment and Payment

Payment is made via PayPal.
No money will be requested from you.
Once you sign up for an account, you’ll take a short assessment (used as an interview). If you pass, you’ll receive email confirmation and paid work will be available on the platform.

Note: This job is available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Today

Machine Learning Engineer - AI Trainer

DataAnnotation Massachusetts 🇺🇸 Remote

Massachusetts

Today

$50 - $100/hr Contract Ai Ml Ai Model Training Ai Training

Apply Now

Job Description

DataAnnotation is seeking an experienced Machine Learning Engineer - AI Trainer to evaluate and help train AI systems focused on quantitative reasoning. This is a remote contract opportunity based in Massachusetts, with flexible project selection and work timing after completing a short assessment.

Key Responsibilities

Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring both technical accuracy and real-world validity.
Develop 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 well-documented analytical code.
Provide feedback that informs and improves the next generation of AI models built for quantitative reasoning.

Required Qualifications

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 a closely related field.
Some coding experience with the ability to write and review 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.
English fluency at native or bilingual level, along 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.

Technologies

Kaggle
AWS
GCP

Compensation and Employment Details

Job type: Contract
Location: Massachusetts (remote)
Pay: USD 50–100 per hourly (projects are paid hourly, up to $60 USD per hour, with potential for higher-paying projects based on performance)
Experience level: Minimum 2 years

Remote Work and Availability

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects to take on and when you work.

Assessment Process

After you sign up for an account, you’ll complete a short assessment as a version of an interview. If you pass, you will receive an email confirmation and paid work will become available on the platform.

Additional Notes

Payment is made via PayPal.
DataAnnotation will never ask for any money from you.

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Data Driven Recruiting Jobs

Principal Data Scientist - AI Trainer

Machine Learning Engineer - AI Trainer

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