Remote Data Scientist: AI Benchmarking & Quantitative Reasoning

DataAnnotation; New Hampshire; On-site; USD 69,000 - 138,000; Part time

Benefits offered by this job

Project bonuses

Job summary

DataAnnotation is offering a fully remote contract role in AI training and quantitative reasoning. You’ll review and generate technical benchmarks, focusing on statistical analysis, predictive modeling, and data-driven problem solving, with an hourly rate of $50 to $100 USD and PayPal payments.

The position is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand. Responsibilities include evaluating AI-generated work, designing quantitative problems for training and

Qualifications

• 3+ years of hands-on experience in a quantitative role.
• Some coding experience; ability to write/review analytical code.
• Experience with statistical methods, predictive modeling, and experiment design.
• Fluency in English; strong writing skills.
• Bachelor’s degree in a quantitative field; advanced degree a plus.

Responsibilities

• Review AI-generated quantitative work, check for technical correctness and real-world validity.
• Design and solve quantitative problems to train and benchmark AI systems.
• Produce clear technical explanations and maintain well-documented analytical code.
• Provide feedback that influences the next generation of AI models focusing on quantitative reasoning.

Skills

3+ years experience

Coding experience

Statistical methods

Predictive modeling

Experiment design

English fluency

Education

Bachelor's degree

Advanced degree preferred

Job description

DataAnnotation is offering a fully remote contract role in AI training and quantitative reasoning. You’ll review and generate technical benchmarks, focusing on statistical analysis, predictive modeling, and data-driven problem solving, with an hourly rate of $50 to $100 USD and PayPal payments.

The position is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand. Responsibilities include evaluating AI-generated work, designing quantitative problems for training and