AI Data Science Expert - Remote

YO IT Consulting; Polska; Remote; PLN 233,000 - 389,000; Part time

Job summary

YO IT Consulting is seeking an AI Data Science Domain Expert contractor to review and refine AI-generated content, develop prompts, and evaluate model outputs. You will perform independent research, data annotation, and prepare technical summaries while collaborating remotely with cross-functional teams.

This role emphasizes analytical reasoning, rigorous quality assurance, and precise technical documentation, with flexible part-time engagement and remote work.

Qualifications

• 3+ years of experience in Data Science, ML, Applied AI, Statistics, or Data Analytics.
• Experience producing or reviewing research papers, analytical reports, or data-driven recommendations.
• Strong analytical reasoning, critical thinking, and written communication skills.
• Experience with data annotation, content review, or rubric-based evaluation is preferred.
• Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
• Master's, MBA, PhD, or other advanced degree is preferred.

Responsibilities

• Review, edit, and refine AI-generated content for accuracy and relevance.
• Develop, optimize, and evaluate prompts to improve AI model performance.
• Conduct rubric-based assessments of AI outputs and provide structured feedback.
• Perform independent research and fact-checking to validate technical information.
• Annotate data and support quality assurance initiatives for AI training.
• Interpret complex datasets and prepare technical reports and summaries.
• Collaborate remotely with project teams to improve AI models and workflows.

Skills

Critical Thinking

Analytical Reasoning

Prompt Engineering

AI Output Evaluation

Quality Assurance

Technical Documentation

Technical & Report Writing

Content Review & Editing

Data Annotation

Data Interpretation

Fact Checking

Independent Research

Problem-Solving

Attention to Detail

Education

Master's, MBA, PhD, or other advanced degree

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)

Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities

• Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
• Develop, optimize, and evaluate prompts to improve AI model performance.
• Conduct rubric-based assessments of AI outputs and provide structured feedback.
• Perform independent research and fact-checking to validate technical information.
• Annotate data and support quality assurance initiatives for AI training.
• Interpret complex datasets and prepare clear technical reports and summaries.
• Collaborate remotely with project teams to improve AI models and workflows.

Required Skills

• Critical Thinking
• Analytical Reasoning
• Prompt Engineering
• AI Output Evaluation
• Quality Assurance
• Technical Documentation
• Technical & Report Writing
• Content Review & Editing
• Data Annotation
• Data Interpretation
• Fact Checking
• Independent Research
• Problem-Solving
• Attention to Detail

Preferred Qualifications

• 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
• Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
• Strong analytical reasoning, critical thinking, and written communication skills.
• Experience with data annotation, content review, or rubric-based evaluation is preferred.
• Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
• Master's, MBA, PhD, or other advanced degree is preferred.