Analytics Engineer - AI Trainer

DataAnnotation; Florida; À distance; USD 69 000 - 138 000; Plein temps

Avantages offerts par ce poste

Work from home

Flexible project selection

Hourly pay $50-$100+

Résumé du poste

DataAnnotation is seeking a quantitative professional to help train AI models. You will evaluate AI-generated analyses, solve technical problems, and provide feedback that shapes how systems reason about data and science. Some work can be done alongside other roles, or as a primary focus, with an assessment after sign-up.

Contractors work from home, choose projects, and are paid hourly starting at $50–$100+ per hour, with potential bonuses on select projects. A PayPal-based workflow applies.

Qualifications

• 3+ years in a quantitative role or research environment.
• Some coding experience and ability to write/review analysis code.
• Practical experience with statistical methods, predictive modeling, and experiment design.
• Fluency in English with strong writing skills.
• Bachelors degree in a quantitative field; advanced degree a plus.
• Credentials such as Kaggle, AWS/GCP ML certifications are a plus.

Responsabilités

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

Connaissances

Quantitative analysis

Statistical methods

Predictive modeling

Experiment design

Coding experience

English fluency

Data science

A/B testing

Time-series forecasting

Formation

Bachelors degree in quantitative field

Advanced degree (Masters or PhD)

Description du poste

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. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

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. #datascience