This job post has expired on August 10, 2026. It is likely that the position has already been filled.
Data Science Expert at Mercor
posted 3 months agoData Science Expert | $120–$170/hr | Worldwide Remote
Mercor is partnering with a leading AI research organization to bring on experienced data scientists for a high-impact evaluation project. In this role, you won't be producing data science deliverables — you'll be defining what excellent work looks like, designing grading criteria, and scoring AI-generated and human work samples with rigorous, well-reasoned justifications.
Key Responsibilities
- Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, experiment readouts, and written recommendations
- Score AI-generated and human work samples against established criteria, providing detailed written justifications for every score
- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible
- Incorporate structured feedback from senior reviewers and iterate quickly on your evaluations
Ideal Qualifications
- 5+ years of professional data science experience in industry
- Background in business operations, product, or growth data science at top-tier technology companies
- Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders
- Exceptionally strong written communication skills
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
Application Process
Submit your resume or relevant technical background to get started. Qualified applicants may be asked to complete a brief technical assessment or provide additional information.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.