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9 jobs found

Today

Senior Data Scientist - AI Trainer

DataAnnotation Mobile, AL 🇺🇸 Remote

Mobile, AL

Today

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

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Job Description

DataAnnotation is seeking a Senior Data Scientist - AI Trainer for a remote contracting role based in Alabama to train AI models by evaluating AI-generated quantitative work and providing feedback to improve quantitative reasoning.

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 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.

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 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.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and timing, on your own computer from home.
Competitive pay: hourly rates from USD 50 to 100, with bonus opportunities on select projects.
Impact: contribute to shaping AI systems for quantitative reasoning in data and analytics.

Note

Payments are issued via PayPal. We will never ask for money from applicants. This position is open to candidates in the US, Canada, the UK, Ireland, Australia, and New Zealand.

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2d ago

Analytics Engineer - AI Trainer

DataAnnotation Lincoln, NE 🇺🇸 Remote

Lincoln, NE

2d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer for a remote role anchored in Lincoln, Nebraska, with a flexible schedule and a focus on evaluating AI-generated quantitative work to shape AI models for quantitative reasoning. This position blends hands-on analysis with clear documentation, contributing to the development of AI systems that reason about data.

Responsibilities

Assess AI-produced quantitative outputs for technical accuracy and practical validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and tackle quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide actionable feedback that helps shape 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 related fields.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experimental design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English with strong writing skills.
A bachelor’s degree in a quantitative field is preferred; a master’s or PhD is a plus.
Relevant credentials such as Kaggle rankings or AWS/GCP ML certifications are a plus.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and set your own hours.
Competitive pay: projects are paid hourly, with rates listed from $50 to $100 per hour; higher-paying opportunities may be available for strong performers.
Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you. This role is open to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

3d ago

Analytics Engineer - AI Trainer

DataAnnotation Winter Park, FL 🇺🇸 Remote

Winter Park, FL

3d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer to help improve AI models by evaluating AI-generated quantitative analyses for technical accuracy and real-world validity. In this remote role, you will design problems to train and benchmark AI systems and provide actionable feedback to guide the next generation of quantitative reasoning models. The position is based in Winter Park, Florida, with remote work supported under a flexible schedule.

Responsibilities

Assess AI-produced quantitative work, including statistics, predictive modeling, scientific reasoning, and data-driven insights, for technical soundness and real-world applicability.
Design and solve quantitative tasks used to train and benchmark AI systems across forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well-documented analytical code.
Deliver feedback that directly shapes 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 related fields.
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 (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills (native or bilingual level).
Bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
Relevant credentials are advantageous (for example, Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and determine when you work.
Competitive pay: hourly projects, up to $60 USD per hour, with opportunities for higher rates based on performance.
Impact: contribute to shaping AI systems built to reason about data and analytics.

Note

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 →

3d ago

Staff Data Scientist - AI Trainer

DataAnnotation South Jordan, UT 🇺🇸 Remote

South Jordan, UT

3d ago

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

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Job Description

The Staff Data Scientist - AI Trainer role at DataAnnotation is a contract opportunity based in South Jordan, Utah, with remote work options and flexible scheduling. The position centers on training AI models and validating quantitative outputs using real-world data science experience.

Responsibilities

Assess AI generated quantitative work for technical accuracy and real-world applicability, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasts, experimental analyses, optimization, and statistical inference.
Produce clear technical explanations and well documented analytical code.
Provide feedback that informs the development of next generation AI models focused on quantitative reasoning.

Requirements

At least 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 related fields.
Some coding experience with the ability to write and review analytical code end-to-end.
Practical knowledge of statistical methods, predictive modeling, and experimental design including A/B testing, hypothesis testing, regression, classification, and time series forecasting.
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field is preferred; a Master’s or PhD is a plus.
Relevant credentials such as Kaggle rankings or cloud ML certifications are advantageous.

Benefits

Fully remote: work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
Flexible schedule: choose projects and working hours, using your own computer from home.
Competitive pay: hourly rates range from USD 50 to 100, with potential bonus rates on select projects.
Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

Payment is processed via PayPal.
We will never request money from applicants.
This opportunity is open to candidates in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.

View full job page →

7d ago

Analytics Engineer - AI Trainer

DataAnnotation Bedford, VA 🇺🇸 Remote

Bedford, VA

7d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

Apply Now

Job Description

DataAnnotation offers a fully remote, flexible role with real impact. You will evaluate AI generated quantitative work, design training and benchmarking problems, and provide actionable feedback to shape AI models that reason about data and analytics. This position is based in Bedford, VA with remote work options.

Compensation ranges from USD 50 to 100 per hour.

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, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

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.

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 related fields.
Some coding experience required, with comfort writing and reviewing analytical code end to end.
Practical experience with statistical methods, predictive modeling, and experiment design (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 is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a 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 money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

7d ago

Analytics Engineer - AI Trainer

DataAnnotation Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

7d ago

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

Apply Now

Job Description

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote contract role based in Menlo Park, CA. The position centers on helping train AI models by assessing quantitative outputs, crafting problems for training and benchmarking, and delivering feedback that improves AI systems designed for quantitative reasoning.

Responsibilities

Assess AI generated quantitative work across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to verify technical accuracy and real-world validity.
Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs 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 related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (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 is preferred; an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (for example, Kaggle competition ranking, AWS or 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 undertake and when you work, using your own computer from home.
Competitive pay: hourly rates of USD 50 to 100, with bonus rates available on some projects.
Impact: contribute to shaping AI systems that reason about data and analytics.

Note

Payment is processed via PayPal. We will not ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

7d ago

Analytics Engineer - AI Trainer

DataAnnotation Austin, TX 🇺🇸 Remote

Austin, TX

7d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

Apply Now

Job Description

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with flexible scheduling, enabling you to work from anywhere while influencing AI systems built for quantitative reasoning. Based remotely in Austin, TX, this position welcomes candidates from the US, Canada, UK, Ireland, Australia, and New Zealand. The role is compensated on an hourly basis between USD 50 and 100, with payments processed via PayPal.

Responsibilities

Assess AI-generated quantitative outputs across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights to confirm technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models crafted for quantitative reasoning.

Requirements

2+ years in a quantitative role or research environment, including data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field is preferred; 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).

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.
Hourly pay: USD 50 - 100 per hour, with opportunities for higher-paying projects based on performance.
Impact: contribute to AI systems built to reason about data and analytics.
Payment is processed via PayPal.

This role is available to applicants located in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.

Payments are made via PayPal. DataAnnotation will never ask for money from applicants.

View full job page →

9d ago

Analytics Engineer - AI Trainer

DataAnnotation Bridgewater, NJ 🇺🇸 Remote

Bridgewater, NJ

9d ago

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

9d ago

Analytics Engineer - AI Trainer

DataAnnotation Santa Clara, CA 🇺🇸 Remote

Santa Clara, CA

9d ago

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

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