Head of Machine Learning

About the Project : Sepal is conducting a research study to understand work excellence among data scientistss to establish professional benchmarks. Selected participants will share their professional background, design field-specific screening questions, and document substantial work projects as casestudies.

Sample of Reported Job Titles : Data Scientist, Machine Learning Engineer, Data Analyst, AI Scientist, Quantitative Analyst.

Must-have Qualifications

4+ years full-time experience as a data scientists

English language fluency

U.S. residency

Access to a laptop or desktop computer with reliable internet

Technology proficiency : Comfortable with messaging, video calling, and uploading files

Ability to follow detailed written instructions and complete online tasks independently

Compensation And Logistics

Hourly pay : $38$170 per hour, plus task bonuses, based on experience and fit

Paid bi-weekly based on tracked and approved hours

Classification as 1099 independent contractor; engagement is at-will

Entirely remotework whenever you like as long as deadlines are met

Current employment in the field is not required

This is a short-term project requiring roughly 40100 hours of work total, between now and December 29th. The engagement begins with a paid 24 day trial.

What You Will Do

Complete a short questionnaire outlining your analytical background

Evaluate AI-generated statistical analyses, predictive models, feature engineering steps, and experimental designs

Help develop realistic and edge-case scenarios involving model drift, data imbalance, inference errors, and ambiguous findings

Provide expert judgment on what high-quality versus low-quality analytical work looks like in practice

WHY PARTICIPATE?

Your real-world experience is essential to establishing rigorous safety and capability benchmarks for AI systems handling high-impact analytical tasks. You will directly shape standards for evaluating future AI models while being compensated for your expertise.

LIMITED AVAILABILITY

Participation is limited. Applications are reviewed on a rolling basis.