Senior Data Science Evaluator (Contract, Remote)

YO IT Consulting; Finland (MN); On-site; USD 81,900 - 136,500; Full time

Benefits offered by this job

Weekly payments

Fully remote

Job summary

YO IT Consulting is seeking an experienced Data Scientist for a fully remote contractor role. You will partner with a leading AI research organization to define what excellent work looks like by designing task-specific grading criteria and scoring completed work samples with rigorous written justifications.

The role focuses on evaluating AI systems and real-world data science outputs rather than delivering final products.

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 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

Experiment design

Stakeholder communication

Attention to detail

Strong writing

Judgment calibration

Tools

SQL

Python

Job description

YO IT Consulting is seeking an experienced Data Scientist for a fully remote contractor role. You will partner with a leading AI research organization to define what excellent work looks like by designing task-specific grading criteria and scoring completed work samples with rigorous written justifications.

The role focuses on evaluating AI systems and real-world data science outputs rather than delivering final products.