Data Science Evaluation Architect

Obsidian; Greater London; Remote; GBP 80,000 - 120,000; Full time

Job summary

Mercor, partnering with a leading AI research organization, seeks experienced data scientists to design task-specific grading criteria and to evaluate AI-generated and human work samples. You will define what excellent work looks like and provide rigorous, written justifications for every score.

Ideal candidates have 5+ years in industry data science, deep expertise in experiment design and A/B testing, and strong SQL/Python analysis, with exceptional written communication to convey findings to

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.
• 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.

Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations).
• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score.
• Apply consistent, evidence-based judgment so that scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.

Skills

5+ years data science

Business operations / product data

Experiment design & A/B testing

SQL/Python analysis

Executive stakeholder communication

Strong written communication

Attention to detail

AI training/evaluation experience

Job description

Mercor, partnering with a leading AI research organization, seeks experienced data scientists to design task-specific grading criteria and to evaluate AI-generated and human work samples. You will define what excellent work looks like and provide rigorous, written justifications for every score.

Ideal candidates have 5+ years in industry data science, deep expertise in experiment design and A/B testing, and strong SQL/Python analysis, with exceptional written communication to convey findings to