Data Scientists - Research Study
•Today
| Verified Pay check_circle | Provided by the employer$38.00 - $170.00 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Los Angeles, CA, United States Los Angeles, California open_in_new |
Compare Pay
Verified Pay check_circleProvided by the employer This job pays $54.27 per hour more than the average pay for similar jobs in your area.
$30.13
$49.73
$104.00
About this job
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 case studies.\n\nSample of Reported Job Titles: Data Scientist, Machine Learning Engineer, Data Analyst, AI Scientist, Quantitative Analyst.\n\nMUST-HAVE QUALIFICATIONS:\n-4+ years full-time experience as a data scientists\n-English language fluency\n-U.S. residency\n-Access to a laptop or desktop computer with reliable internet\n-Technology proficiency: Comfortable with messaging, video calling, and uploading files\n-Ability to follow detailed written instructions and complete online tasks independently\n\nCOMPENSATION AND LOGISTICS:\n-Hourly pay: $38–$170 per hour, plus task bonuses, based on experience and fit\n-Paid bi-weekly based on tracked and approved hours\n-Classification as 1099 independent contractor; engagement is at-will\n-Entirely remote—work whenever you like as long as deadlines are met\n-Current employment in the field is not required\n\nThis is a short-term project requiring roughly 40–100 hours of work total, between now and December 29th. The engagement begins with a paid 2–4 day trial.\n\nWHAT YOU WILL DO\n-- Complete a short questionnaire outlining your analytical background\n -- Evaluate AI-generated statistical analyses, predictive models, feature engineering steps, and experimental designs\n -- Help develop realistic and edge-case scenarios involving model drift, data imbalance, inference errors, and ambiguous findings\n -- Provide expert judgment on what high-quality versus low-quality analytical work looks like in practice\nWHY PARTICIPATE?\nYour 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.\n\nLIMITED AVAILABILITY\nParticipation is limited. Applications are reviewed on a rolling basis.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1187733048 Posted: 2025-11-24 Job Title: Data Scientist Research