# Data Scientist Talent Network

**Company:** [Weekday AI](null/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Part-time
**Department:** AI Training

[Apply for this job](null/view/08f65a46-99c9-4ae8-ad2c-8fe6651cdb0e)

## Description

**This role is for one of our clients**

**Compensation: $100-$150 per hour**

We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.

There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.

## Requirements

Potential Responsibilities

Future projects may involve:

-   Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
-   Evaluating AI-generated or human-created work against established criteria
-   Providing detailed written justifications for evaluations and scores
-   Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
-   Incorporating structured feedback from senior reviewers and iterating on submitted work

Specific responsibilities will vary depending on the project.

Ideal Qualifications

-   1+ years of professional data science experience
-   Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
-   Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses
-   Exceptional written communication skills, including the ability to convey technical findings clearly
-   A detail-oriented and consistent approach to evaluating complex work
-   Comfort receiving feedback and calibrating judgment against established standards

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.