Data Science AI Trainer

Salary: $118,560 - 370,240 per year

Requirements:

• At least 1 year of professional applied data science or analytics experience; 2+ years is preferred.
• A completed or in-progress bachelors degree or higher in a quantitative field.
• Working proficiency in Python and/or SQL, including the ability to write, debug, review, and explain analytical code.
• Experience in at least one area such as product or business analytics, business intelligence, applied machine learning, statistical modeling, experimentation and A/B testing, causal inference, forecasting, data engineering-adjacent analytics, applied NLP, or computer vision.
• Ability to independently manage multi-step analyses from raw or messy data through cleaning, modeling, validation, interpretation, and final conclusions.
• Strong understanding of concepts such as data leakage, confounding, selection effects, statistical power, multiple testing, and model validation.
• Strong written communication and analytical reasoning, with the ability to review complex work and identify subtle errors or weaknesses.
• Current or recent hands-on data science experience is strongly preferred; familiarity with AI/LLM tools such as ChatGPT or Claude is also preferred.
• Applicants must complete an approximately 2–4 hour unpaid skills assessment using their own work and without AI tools.

Responsibilities:

• Create challenging data science tasks based on realistic professional workflows.
• Build or anonymize supporting datasets, schemas, notebooks, metric definitions, and stakeholder materials.
• Evaluate AI-generated analyses, code, models, SQL queries, forecasts, and written conclusions.
• Compare AI-generated solutions and document their strengths and shortcomings.
• Develop detailed grading criteria and tests for technically correct deliverables.
• Identify issues such as data leakage, confounding, incorrect joins, unsuitable statistical tests, flawed validation, fabricated data, and misinterpretations.
• Contribute to work spanning analytics, machine learning, experimentation, forecasting, and data engineering-adjacent projects.

Technologies:

• AI
• Business Intelligence
• ChatGPT
• Computer Vision
• LLM
• Machine Learning
• Python
• SQL
• LESS

More:

Were Paro, and we offer remote, project-based AI training opportunities for experienced data science professionals. In this role, youll apply your expertise to help evaluate and improve advanced AI models rather than perform traditional data science work for a single organization. The contract work is fully remote, with applicants based in the United States, Canada, or the United Kingdom; the schedule is flexible, and approximately 10 or more hours per week are preferred, with additional hours potentially available. The posting lists hourly compensation as $40–$125 and also as $57–$178. Applicants who pass the unpaid skills assessment may be eligible for ongoing paid projects, depending on their expertise, performance, and available work.

last updated 46 week of 2026