Remote Data Science Evaluator & Scoring Lead

YO IT Consulting; Dallas (TX); On-site; USD 100,100 - 163,800; Part time

Job summary

YO IT Consulting is seeking an experienced Data Scientist contractor to help evaluate AI system performance on real-world data science tasks. You will define grading criteria, design scoring rubrics, and assess samples with detailed written justifications, ensuring reproducible results.

Candidates should have 5+ years in industry, strong written and verbal communication, and deep expertise in experiment design, metrics, and SQL/Python analysis, with experience in AI training or evaluation being

Qualifications

• 5+ years of professional data science experience in industry.
• Experience 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

Data science experience

Experiment design

SQL/Python analysis

Executive communication

Written communication

Attention to detail

AI training/evaluation

Job description

YO IT Consulting is seeking an experienced Data Scientist contractor to help evaluate AI system performance on real-world data science tasks. You will define grading criteria, design scoring rubrics, and assess samples with detailed written justifications, ensuring reproducible results.

Candidates should have 5+ years in industry, strong written and verbal communication, and deep expertise in experiment design, metrics, and SQL/Python analysis, with experience in AI training or evaluation being