Data Science Expert - AI Trainer

Weekday AI (YC W21); United States; Remote; USD 60,000 - 80,000; Part time

Job summary

A leading AI consulting firm is seeking an experienced Data Science professional to support high-impact research collaborations. This part-time role involves reviewing AI-generated content, validating technical concepts, and supporting model benchmarking. Ideal candidates will have 3+ years of experience, strong Python and SQL skills, and experience in deploying machine learning models. Competitive pay of $70-$120 per hour is offered for a fully remote role.

Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics.
• Bachelor's degree or advanced degree preferred.
• Strong proficiency in Python and SQL.

Responsibilities

• Review and refine AI-generated prompts and responses.
• Validate technical concepts for accuracy.
• Provide structured feedback on solution quality.

Skills

Data science

Machine learning

Applied statistics

Python

SQL

Education

Bachelor's degree in Data Science or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

This role is for one of the Weekday's clients. We are seeking experienced Data Science professionals to support a range of high-impact research collaborations with leading AI labs. In this role, you will contribute to improving AI systems through tasks such as code validation, prompt refinement, algorithmic evaluation, and model benchmarking. This is a unique opportunity to apply your technical expertise toward shaping the next generation of intelligent systems.

Responsibilities

• Review and refine AI-generated prompts, responses, and code
• Validate technical concepts for accuracy and clarity
• Provide structured feedback on solution quality and relevance
• Tag, organize, and categorize content by topic and complexity
• Support benchmarking initiatives to evaluate model capabilities

Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics (industry or research)
• Bachelor\'s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field (advanced degree preferred)
• Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus
• Hands-on experience building and deploying machine learning models with frameworks such as scikit-learn, TensorFlow, or PyTorch
• Expertise in statistical analysis, data wrangling, and feature engineering on large datasets

Project Timeline

• Start Date: Immediate
• Duration: 1-2 months
• Commitment: Part-time (15-25 hours/week, with flexibility up to 40 hours/week)
• Schedule: Fully remote and asynchronous - flexible working hours

Compensation & Contract

• Competitive hourly rate ($70-$120 USD/hr)
• Independent contractor arrangement
• Daily payments via Stripe Connect

Additional Details

• Seniority level: Associate
• Employment type: Part-time
• Job function: Other
• Industries: IT Services and IT Consulting

Referrals increase your chances of interviewing at Weekday AI (YC W21) by 2x

Get notified about new Science-related roles in United States.