Data Scientist @ Call For Referral
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Job Details
About the Role
A leading AI research initiative is seeking experienced Data Science Experts for high-impact collaborations. In this role, you will apply your data science and engineering expertise to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape next-generation AI systems in reasoning, coding, and learning.
Key Responsibilities
- Review and refine AI-generated code, prompts, and analytical outputs.
- Validate technical concepts for statistical soundness and computational accuracy.
- Provide structured feedback on solution quality, logic, and clarity.
- Categorize and label datasets, prompts, and models.
- Contribute to benchmarking and evaluation frameworks for model performance.
Ideal Qualifications
- 3+ years of experience in data science, machine learning, or applied statistics.
- Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or related field; advanced degree preferred.
- Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus.
- Experience with ML model deployment using scikit-learn, TensorFlow, or PyTorch.
- Skilled in statistical analysis, feature engineering, and data wrangling on large datasets.
- Excellent analytical, communication, and documentation skills.
Project Timeline & Work Arrangement
Start Date: ImmediateDuration: 1–2 months (potential for extension)Commitment: 15–25 hours/week (flexible up to 40 hours/week)Schedule: Fully remote and asynchronous
Compensation & Application Process
Contract Type: Independent contractorRate: $80–$120 USD/hourPayments: Daily via Stripe Connect
Application Steps: Upload resume or CV, complete a short AI-led interview (15 minutes), and review onboarding materials. Mercor team reviews applications daily.
Key skills/competency
Data Science, Machine Learning, Python, SQL, scikit-learn, TensorFlow, PyTorch, Statistical Analysis, Data Wrangling, Benchmarking
How to Get Hired at Call For Referral
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to data science projects.
- Research Call For Referral: Understand their AI research approach.
- Prepare technical examples: Showcase completed ML projects.
- Practice interview insights: Review common data science questions.