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AI-Powered Job Summary
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This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
Key Responsibilities
- Review and refine AI-generated prompts, responses, and code
- Validate concepts for technical accuracy
- Provide structured feedback on solution quality and clarity
- Tag and organize content by topic and difficulty
- Support benchmarking efforts to assess model capabilities
- 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 minimum; 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 frameworks like scikit-learn, TensorFlow, or PyTorch
- Experience with statistical analysis, data wrangling, and feature engineering on large datasets
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours
- Competitive hourly rate based on experience ($80–$120 USD/hr)
- Independent contractor
- Daily payment via Stripe Connect
- Upload your resume
- AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
- Follow-up communication within a few days with next steps and onboarding details
Apply today and leverage your data science expertise to help build the future of AI-driven systems!
Key Skills
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