Data Science Expert
Remote | Part-Time | $60–$120/hour
Role Overview
A leading AI research group is engaging experienced Data Science professionals to support high-impact research collaborations. This role focuses on improving advanced AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking.
This is an opportunity to apply your data science expertise to shape the next generation of intelligent systems powering real-world applications.
Key Responsibilities
- Review and refine AI-generated prompts, responses, and code.
- Validate models and algorithms for technical accuracy and rigor.
- Provide structured feedback on solution quality and clarity.
- Tag and organize content by topic and difficulty level.
- Contribute to benchmarking efforts to assess model performance and capabilities.
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 a related quantitative 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 ML models using scikit-learn, TensorFlow, or PyTorch.
- Expertise in statistical analysis, data wrangling, and feature engineering on large datasets.
Project Timeline
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: 15–25 hours/week, with flexibility up to 40 hours/week
- Schedule: Fully remote and asynchronous
Compensation & Contract
- Rate: $60–$120/hour (based on experience)
- Contract Type: Independent contractor
- Payments: Processed daily via Stripe Connect
Application & Onboarding
- Submit your resume.
- Complete a short AI interview (15 minutes) to discuss background and expertise.
- Receive follow-up communication within a few days regarding next steps and onboarding.