Job 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. 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.

Requirements

Must-haves

This role is for one of our clients
Compensation: $100-$150 per hour
There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.
Potential Responsibilities
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonsql

Platform: workable
Effort: medium