About

We are seeking experienced Data Science professionals to support a range of high-impact research collaborations with leading AI labs. In this role, you will contribute to improving AI systems through tasks such as code validation, prompt refinement, algorithmic evaluation, and model benchmarking. This is a unique opportunity to apply your technical expertise toward shaping the next generation of intelligent systems.

Key Responsibilities

Review and refine AI-generated prompts, responses, and code
Validate technical concepts for accuracy and clarity
Provide structured feedback on solution quality and relevance
Tag, organize, and categorize content by topic and complexity
Support benchmarking initiatives to evaluate model capabilities

Ideal Qualifications

3+ years of experience in data science, machine learning, or applied statistics (industry or research)
Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field (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 with frameworks such as 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: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
Schedule: Fully remote and asynchronous – flexible working hours