Data Scientists for Research Study
5 days ago
About the Project: Sepal is conducting a groundbreaking research study aimed at understanding work excellence among data scientists to establish professional benchmarks. We are seeking skilled participants to share their professional experiences, design field-specific screening questions, and document significant work projects as case studies.
Sample Job Titles: Data Scientist, Machine Learning Engineer, Data Analyst, AI Scientist, Quantitative Analyst.
MUST-HAVE QUALIFICATIONS:
- 4+ years of full-time experience as a data scientist
- Fluency in the English language
- 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 independently complete online tasks
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
- Contract classification as a 1099 independent contractor; engagement is at-will
- Flexible remote work; complete tasks as per your schedule while meeting deadlines
- No current employment in the field is required
This short-term project requires approximately 40-100 hours of work total between now and December 29th. The engagement begins with a paid 24-day trial.
WHAT YOU WILL DO:
- Complete a brief questionnaire outlining your analytical background
- Evaluate AI-generated statistical analyses, predictive models, feature engineering steps, and experimental designs
- Assist in developing realistic and edge-case scenarios involving model drift, data imbalance, inference errors, and ambiguous findings
- Provide expert judgment on the quality of analytical work in practice
WHY PARTICIPATE? Your real-world experience is vital for establishing rigorous safety and capability benchmarks for AI systems handling high-impact analytical tasks. You will play a direct role in shaping standards for evaluating future AI models while being rewarded for your expertise.
LIMITED AVAILABILITY: Participation is limited. Applications are reviewed on a rolling basis.
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