We’re looking for experienced Data Science professionals to support ongoing research projects with leading AI labs. This work involves applying your analytical and engineering expertise to improve next-generation AI systems.
About the Role:
You’ll work on tasks that combine applied machine learning, prompt and algorithm evaluation, and model benchmarking. Typical responsibilities include:
Reviewing AI-generated prompts, code, and responses for technical accuracy
Refining data and model inputs to improve clarity and results
Providing structured feedback on solution quality
Organizing content by topic, domain, or complexity
Supporting benchmarking to assess model performance
What We’re Looking For:
3+ years of experience in data science, machine learning, or applied statistics
Bachelor’s degree or higher in a quantitative field (Data Science, Statistics, Computer Science, Mathematics, etc.)
Strong programming skills in Python and SQL; familiarity with R, Java, or Scala is a plus
Hands-on experience building and deploying ML models (scikit-learn, TensorFlow, or PyTorch)
Skilled in data wrangling, analysis, and feature engineering on large datasets
Able to work independently and follow structured guidelines
Details:
Pay: $80–$120/hr, depending on experience
Fully remote and asynchronous
15–25 hours per week, with flexibility up to 40
This role is ideal for professionals who want to contribute to high-impact AI research and evaluation work while maintaining a flexible schedule.
