Data Scientist Talent Network

Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.

There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.

Future projects may involve

• Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
• Evaluating AI-generated or human-created work against established criteria
• Providing detailed written justifications for evaluations and scores
• Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
• Incorporating structured feedback from senior reviewers and iterating on submitted work

Specific responsibilities will vary depending on the project.

Ideal Qualifications

• 1+ years of professional data science experience
• Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)