Experimentation Analyst - AI Trainer

Talantir; Victoria; Remote; CAD 77,000 - 116,000; Part time

Benefits offered by this job

Fully remote work

Flexible schedule

Pay via PayPal

Job summary

Talantir is seeking an experienced Experimentation Analyst - AI Trainer to help advance AI development. This contract role offers fully remote work with a flexible schedule and hourly compensation.

You will evaluate AI-generated quantitative work, design experiments, and provide clear explanations and code, collaborating with a team across data science to push the boundaries of AI reasoning. Ideal candidates have strong quantitative background, coding ability, and experience with statistical

Qualifications

• 2+ years in a quantitative role or research environment (data science, statistics, economics, physics, etc.).
• Some coding experience; able to write and review analytical code.
• Experience with statistical methods, predictive modeling, and experiment design (A/B tests, regression, time-series).
• Fluent English with strong writing skills.
• Bachelor's degree in a quantitative field preferred; higher degrees a plus.

Responsibilities

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

Skills

Quantitative analysis

Programming basics

Statistics

English proficiency

Hypothesis testing

Education

Bachelor's degree in quantitative field

Master's degree or PhD preferred

Tools

Python

Jupyter

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Experimentation Analyst - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning - but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, 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.

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, starting at $40+ USD per hour.
• 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.

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 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 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).

Additional Details

• Job Type: Contract
• Pay: $40.00-$60.00 per hour
• Work Location: Remote

Payment is made via PayPal.

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