Data Scientist
@ Call For Referral

Hybrid
$104,000
Hybrid
Part Time
Posted 22 days ago

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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

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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.

📝 Interview Preparation Advice

Technical Preparation

Review Python data libraries.
Practice SQL queries on sample data.
Study ML model deployment techniques.
Evaluate example AI benchmark frameworks.

Behavioral Questions

Describe past remote work challenges.
Explain your project collaboration methods.
Detail communication style in asynchronous teams.
Share problem-solving experience in data projects.

Frequently Asked Questions