Data Science Expert
Remote | Part-Time Contract | $60–$120 per hour
Role Overview
A leading AI research initiative is seeking Data Science Experts to support high-impact collaborations with top AI labs. In this role, you will apply your technical expertise to validate code, refine prompts, evaluate algorithms, and benchmark models, contributing to the development of next-generation intelligent systems.
This opportunity is ideal for professionals who thrive at the intersection of data science, machine learning, and applied research.
Key Responsibilities
- Review and refine AI-generated prompts, responses, and code for accuracy and clarity.
- Validate technical concepts and provide structured feedback on solution quality.
- Tag and organize datasets by topic, complexity, and domain relevance.
- Support model benchmarking efforts through structured evaluation and testing.
- Collaborate asynchronously with research teams to strengthen evaluation workflows.
Ideal Qualifications
- 3+ years of experience in data science, machine learning, or applied statistics (industry or research).
- Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field (Bachelor’s required; advanced degree preferred).
- Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus.
- Hands-on experience building and deploying machine learning models using scikit-learn, TensorFlow, or PyTorch.
- Solid background in statistical analysis, data wrangling, and feature engineering on large datasets.
- Excellent analytical and written communication skills.
Project Timeline
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: 15–25 hours/week (flexible, up to 40 hours/week)
- Schedule: Fully remote and asynchronous
Compensation & Contract
- Hourly Rate: $60–$120 USD (based on experience)
- Type: Independent contractor
- Payments: Daily via Stripe Connect
Application & Onboarding Process
- Upload your resume
- Short AI interview (15 minutes) to discuss your background and expertise
- Follow-up communication within a few days with next steps and onboarding