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Data Scientist Talent Network

United States

Pay
$100–150/hour — pay source
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.
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Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Part-time — employment source
Employment type in the employer’s posting: Part-time
From the employer’s posting

What you’ll work on

Full posting
  • Design task-specific grading criteria for data science deliverables

  • Evaluate AI-generated or human-created data science work against criteria

  • Write detailed justifications for evaluations and scores

  • Apply consistent, evidence-based judgment so assessments are defensible

  • Revise submitted work using feedback from senior reviewers

From the employer’s posting
Designing precise, task-specific grading criteria for data science deliverables
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

What you’ll bring

All qualifications

Core experience

  • 1+ years of professional data science experience
  • Strong Python, SQL, statistical modeling and machine learning skills
  • Experience with experimentation and causal inference
  • Exceptional written communication of technical findings
  • Detail-oriented approach to evaluating complex work

Preferred experience

  • Experience at a leading tech, research, or quant firm (e.g., top FAANG, AI labs)
Qualification wording
1+ years of professional data science experience
Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference
experimentation and causal inference
Exceptional written communication skills, including the ability to convey technical findings clearly
A detail-oriented and consistent approach to evaluating complex work
Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
- 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

Posting record

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Status in our records
Live
First seen by us
Sep 26, 2026 · 33 days ago
Recorded sightings
280
Last seen by us
Oct 30, 2026
Employer says posted
Sep 17, 2026

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Job description

View original posting ↗

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.

Source details

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Pay
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.
Location & working pattern

United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting