AI Trainer: Quantitative Research Scientist (Remote)

DataAnnotation; Quincy (WA); On-site; USD 69,000 - 138,000; Full time

Job summary

DataAnnotation is seeking a Research Data Scientist - AI Trainer to evaluate and create quantitative tasks for training and benchmarking AI systems. The role is remote and focuses on assessing model outputs for technical correctness and real-world usefulness, with feedback to improve future reasoning about data and analytics.

You will review quantitative work for accuracy, develop tasks on forecasting, experimental analysis, optimization, and inference, and document analytical code.

Qualifications

• 2+ years in a quantitative research or applied role such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.

Responsibilities

• Review AI-generated quantitative work for technical accuracy and real-world validity.
• Develop quantitative problems to train and benchmark AI models (forecasting, experimental analysis, optimization, statistical inference).
• Produce clear technical explanations and well-documented analytical code.
• Provide feedback to influence next-generation AI systems focused on quantitative reasoning.

Skills

Quantitative research

Coding

Statistics

Experimental design

English fluency

Education

Bachelor's degree in quantitative field

Job description

DataAnnotation is seeking a Research Data Scientist - AI Trainer to evaluate and create quantitative tasks for training and benchmarking AI systems. The role is remote and focuses on assessing model outputs for technical correctness and real-world usefulness, with feedback to improve future reasoning about data and analytics.

You will review quantitative work for accuracy, develop tasks on forecasting, experimental analysis, optimization, and inference, and document analytical code.