AI Trainer - Data Science

Planet Pharma; Chicago (IL); Remote; AUD 90,000 - 130,000; Full time

Job summary

Planet Pharma seeks a data science evaluator to design challenging problems, review AI-generated analyses, and help improve how AI systems reason across analytics, machine learning, experimentation, forecasting, and data engineering. The role emphasizes independent, remote work with real-world datasets, strong Python/SQL skills, and the ability to communicate complex statistical ideas clearly.

Your work will shape how clients and teams measure progress and reliability of AI solutions across our

Qualifications

• 2+ years of professional experience in Data Science, Analytics, Machine Learning, Experimentation, or Data Engineering.
• Strong proficiency in Python and/or SQL.
• Experience working with messy, real-world datasets end-to-end.
• Strong analytical thinking and written communication skills.
• Ability to work independently in a fully remote environment.

Responsibilities

• Create realistic data science tasks based on real-world business and research scenarios.
• Review and evaluate AI-generated analyses, models, SQL queries, and code
• Compare AI outputs and identify strengths, weaknesses, and errors
• Develop grading criteria and evaluation rubrics
• Provide detailed feedback on statistical reasoning, modeling, experimentation, and data quality issues

Skills

Python

SQL

Analytical thinking

Written communication

Job description

Use your real-world experience to design challenging data science problems, evaluate AI-generated analyses and code, and help improve how AI systems reason across analytics, machine learning, experimentation, forecasting, and data engineering.

Responsibilities:

• Create realistic data science tasks based on real-world business and research scenarios
• Review and evaluate AI-generated analyses, models, SQL queries, and code
• Compare AI outputs and identify strengths, weaknesses, and errors
• Develop grading criteria and evaluation rubrics
• Provide detailed feedback on statistical reasoning, modeling, experimentation, and data quality issues

Requirements:

• 2+ years of professional experience in Data Science, Analytics, Machine Learning, Experimentation, Statistical Modeling, or Data Engineering
• Strong proficiency in Python and/or SQL
• Experience working with messy, real-world datasets end-to-end
• Strong analytical thinking and written communication skills
• Ability to work independently in a fully remote environment

Preferred Backgrounds:

• Forecasting & Advanced Analytics
• Applied NLP or Computer Vision
• Freelance, Consulting, or Startup Data Science experience

Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its headquarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.

Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.

We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

www.planet-pharma.com