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9 jobs found

15d ago

Data Scientist - AI Trainer

DataAnnotation Massachusetts 🇺🇸 Remote

Massachusetts

15d ago

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

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Job Description

DataAnnotation is seeking an experienced Data Scientist - AI Trainer to support the evaluation and development of AI systems focused on quantitative reasoning. In this fully remote contract role, you will review AI-generated quantitative work, help build training and benchmarking problem sets, and deliver feedback that improves model performance.

Role overview

As an AI Trainer, you will assess technical outputs for accuracy and real-world validity across statistical analysis and predictive modeling. You will also design quantitative tasks that support forecasting, experimental analysis, optimization, and statistical inference, then provide clear explanations and documented code to support the platform’s workflow.

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, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly influences the next generation 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 a closely related field.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (examples include 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, including Kaggle Competition ranking and AWS/GCP ML certifications or equivalent demonstrated expertise.

Tech stack

Kaggle
AWS
GCP
PayPal

Location, schedule, and pay

Location: Massachusetts (remote)
Job type: contract
Schedule: flexible, with paid, assessment-gated work on the platform
Pay: USD 50–100 per hour (projects are paid hourly; up to $60 USD per hour, with higher-paying opportunities available based on performance)

Where you can work from

United States
Canada
UK
Ireland
Australia
New Zealand

Notes

Payment is made via PayPal.
DataAnnotation will never ask for any money from you.
This role is only available to candidates in the regions listed above.

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30d ago

Machine Learning Engineer - AI Trainer

DataAnnotation Massachusetts 🇺🇸 Remote

Massachusetts

30d ago Closed

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

This position is no longer accepting applications (closed Sep 15, 2026).

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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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Minnesota 📍 United States Remote

Minnesota

1mo ago Closed

$50 - $100/hr Contract Senior Ai Model Training Ai Trainer

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

The Senior Data Scientist - AI Trainer role supports the training and evaluation of AI models by reviewing quantitative outputs, creating rigorous quantitative tasks, and delivering technical feedback. This is a fully remote contract position with flexible scheduling and hourly compensation.

Role Summary

As an AI Trainer, you will assess AI-generated quantitative work for correctness and real-world validity, develop quantitative problems for training and benchmarking, and provide clear, actionable feedback. Work is paid hourly and performed remotely.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, focusing on technical accuracy and real-world applicability.
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 maintain well-documented analytical code.
Deliver feedback that informs iteration and improves the next generation of AI models focused on quantitative reasoning.

Requirements

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 a closely related field.
Some coding experience, including the ability to write and review analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English (native or bilingual level) 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

English
Kaggle
AWS
GCP

Compensation and Work Model

Job type: Contract
Location: Remote (Wyoming)
Pay: 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 which projects to take on and when to work, using your own computer.
Competitive pay: hourly projects 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.

Additional Notes

Payment is made via PayPal.
No money is requested from candidates.
This role is available only to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Albuquerque, NM 🇺🇸 Remote

Albuquerque, NM

1mo ago Closed

$50 - $100/hr Contract Senior Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Senior Data Scientist - AI Trainer supports AI model development by assessing quantitative outputs and building problem sets for training and benchmarking.

Responsibilities

Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical correctness and real-world validity
Create and solve quantitative problems for AI training and evaluation, covering forecasting, experimental analysis, optimization, and statistical inference
Produce clear technical explanations alongside well-documented analytical code
Deliver feedback that influences the next cycle of AI models focused on quantitative reasoning

Requirements

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 a closely related area
Coding experience required, including comfort writing and reviewing analytical code end-to-end
Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting
English proficiency (native or bilingual) with strong writing skills
Bachelor’s degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); Master’s or PhD is a plus
Relevant credentials are a plus, such as Kaggle Competition ranking or AWS/GCP ML certifications (or equivalent demonstrated expertise)

Technologies

English
Kaggle
AWS
GCP

Benefits

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 to work, using your own computer
Competitive pay: hourly rates of $50 to $100 USD depending on the project, with bonus rates available on some projects
Impact: help shape AI systems designed to reason about data and analytics

Contracting Details

Contract role
Fully remote: available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand
Hourly compensation: projects paid hourly at $50 to $100 USD, with bonus rates available on some projects
Flexible schedule: select projects and work times; perform work from home

Note: Payment is made via PayPal. The organization will never ask candidates for money. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Idaho 🇺🇸 Remote

Idaho

1mo ago Closed

$50 - $100/hr Contract Senior Ai Training Artificial Intelligence

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Help train AI systems by reviewing quantitative outputs and giving feedback that improves how models reason about data, analysis, and predictions.

Responsibilities

Assess AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights
Design and solve quantitative problems used to train and benchmark AI systems (forecasting, experimental analysis, optimization, statistical inference)
Produce clear technical explanations backed by well-documented analytical code
Deliver feedback that directly informs the next generation of AI models for quantitative reasoning

Requirements

3+ years of hands-on experience in a quantitative role or research environment (data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or adjacent fields)
Coding experience required, with comfort writing and reviewing analytical code end-to-end
Practical experience applying 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
Bachelor’s degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); Master’s is preferred and an advanced degree (Master’s or PhD) is a plus
Relevant credentials are a plus, such as Kaggle Competition ranking and/or AWS/GCP ML certifications (or equivalent demonstrated expertise)

Tech

PayPal
AWS
GCP
Kaggle

Benefits

Fully remote: available from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects to take on and when to work; use your own computer
Competitive pay: projects paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects
Impact: contribute to AI systems built to reason about data and analytics

Contracting details

Contract role
Payment via PayPal
Company will never ask for money from applicants
Availability limited to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand

View full job page →

1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

You will support the training of AI systems by reviewing quantitative outputs, creating and solving quantitative problems for model training and benchmarking, and delivering feedback that improves how systems reason about data.

Role Overview

This is a contract position as a Senior Data Scientist - AI Trainer based in Minnesota (remote). The role is fully remote with a flexible schedule and hourly pay ranging from $50 to $100 USD per hour.

Responsibilities

Assess AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, with a focus on technical accuracy and real-world validity.
Develop quantitative problems for training and benchmarking AI systems across areas such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well-documented analytical code.
Provide feedback that directly informs subsequent iterations of AI models designed for quantitative reasoning.

Requirements

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 a closely related 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 such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English (native or bilingual level) and 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

PayPal
AWS
GCP
Kaggle

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, 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: help shape AI systems built to reason about data and analytics.

Contracting Details

Fully remote across the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule and the ability to work from your own computer.
Hourly compensation at $50 to $100 USD per hour, with bonus rates on some projects.
Impact on AI development for quantitative reasoning and analytics.

Payment & Eligibility Notes

Payment is made via PayPal.
We will never ask for any money from you.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Arizona 🇺🇸 Remote

Arizona

1mo ago Closed

$50 - $100/hr Contract Senior Ai Training Artificial Intelligence

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

DataAnnotation is recruiting an existing Senior Data Scientist - AI Trainer to support the training of AI models through evaluation of AI-generated quantitative work. This contract role focuses on assessing accuracy and real-world validity, then providing feedback that improves how AI systems reason about data and scientific problems.

Role overview

As an AI Trainer, you will review quantitative outputs created by AI systems, including analytical reasoning and modeling results. Your feedback will be used to refine the next generation of models that perform quantitative reasoning, forecasting, experimental analysis, optimization, and statistical inference.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, with a focus on 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.
Write clear technical explanations and produce well-documented analytical code.
Provide feedback that directly influences the next generation of AI models for quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment, including data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a closely related field.
Some coding experience is required, including comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design, including examples 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 Kaggle competition ranking or AWS/GCP ML certifications, or equivalent demonstrated expertise.

Technologies

Kaggle
AWS
GCP
PayPal

Compensation and work details

Location: Arizona (remote)
Job type: contract
Pay: projects are paid hourly at USD 50 to 100 per hour, with bonus rates available on some projects.
Schedule: flexible, with the ability to choose which projects to take on and when you work.
Assessment: paid hourly work is available after a short assessment.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose project availability and timing; work is performed on your own computer.
Impact: contribute to AI systems built to reason about data and analytics.

Additional information

Payment is made via PayPal.
We will never ask for any money from you.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

1mo ago

Staff Data Scientist - AI Trainer

DataAnnotation Redmond, WA 🇺🇸 Remote

Redmond, WA

1mo ago Closed

$50 - $100/hr Contract Python Ai Trainer Artificial Intelligence

1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Alaska 🇺🇸 Remote

Alaska

1mo ago Closed

$50 - $100/hr Contract Senior Ai Ml Ai Trainer

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