Remote Data Scientist: Evaluation & Scoring Lead

YO IT Consulting; San Antonio (TX); On-site; USD 127,400 - 218,400; Full time

Job summary

YO IT Consulting is seeking a Data Scientist contractor for a remote engagement with a leading AI research organization. Your role is to define what excellent work looks like by designing task-specific grading criteria and scoring samples with written justifications.

You will evaluate AI-generated and human work, apply evidence-based judgment, and iterate with feedback from senior reviewers. The project emphasizes rigorous assessment and clear communication to executives.

Qualifications

• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top-tier tech companies.
• Deep fluency in experiment design, 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 DS

Biz/Growth data

Experiment design

AB testing

Written communication

Job description

YO IT Consulting is seeking a Data Scientist contractor for a remote engagement with a leading AI research organization. Your role is to define what excellent work looks like by designing task-specific grading criteria and scoring samples with written justifications.

You will evaluate AI-generated and human work, apply evidence-based judgment, and iterate with feedback from senior reviewers. The project emphasizes rigorous assessment and clear communication to executives.