Principal AI Trainer & Quantitative Scientist (Remote)

DataAnnotation

Washington (District of Columbia)

On-site

USD 50,000 - 83,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Flexible schedule
Competitive hourly pay
Impact on AI models

Job summary

DataAnnotation is seeking a Principal Data Scientist - AI Trainer to evaluate and train AI systems focused on quantitative reasoning and real-world validity. You will review quantitative work, design training problems, and write clear analyses to guide model improvements.

Qualifications include 2+ years in quantitative roles, strong English, and a quantitative degree (Master/PhD a plus). This is a fully remote role with flexible projects and hourly pay up to $60 USD.

Qualifications

  • 2+ years in a quantitative role or research environment
  • Some coding experience with end-to-end analytical code
  • Practical experience with statistical methods, predictive modeling, experiment design, regression, classification, and time-series forecasting
  • Fluency in English with strong writing skills
  • Bachelor's degree in a quantitative field preferred; master's/PhD is a plus
  • Credentials such as Kaggle rankings or cloud ML certifications are a plus

Responsibilities

  • Review AI-generated quantitative work for technical accuracy and real-world validity
  • Design and solve quantitative problems to train and benchmark AI systems (forecasting, experimental analysis, optimization, statistical inference)
  • Produce clear technical explanations for quantitative work
  • Write and maintain well-documented analytical code as part of training
  • Provide feedback that shapes next-generation AI models for quantitative reasoning

Skills

Quantitative analysis
End-to-end coding
English writing skills
Statistical thinking

Education

Bachelor's degree in a quantitative field
Master's or PhD is a plus

Job description

DataAnnotation is seeking a Principal Data Scientist - AI Trainer to evaluate and train AI systems focused on quantitative reasoning and real-world validity. You will review quantitative work, design training problems, and write clear analyses to guide model improvements.

Qualifications include 2+ years in quantitative roles, strong English, and a quantitative degree (Master/PhD a plus). This is a fully remote role with flexible projects and hourly pay up to $60 USD.

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