This is a fully remote position, open to applicants in United States, +4 more countries.

📋 Description

• Assess AI-generated outputs in areas such as data science, statistics, machine learning, experimentation, and quantitative problem-solving.

• Develop expert-level prompts, datasets, and reference solutions aimed at AI training and evaluation.

• Detect flawed methodologies, statistical errors, unsupported assumptions, and weaknesses in quantitative reasoning.

• Evaluate the accuracy, reliability, and clarity of analytical methods and conclusions.

• Deliver structured, evidence-based feedback to enhance AI model performance.

• Implement consistent evaluation criteria and convey technical findings effectively.

⛳️ Requirements

• Minimum of one year of experience at a leading company in tech, finance, or research, alongside a total of three years of experience in Data Science or Software Engineering.

• Bachelor’s degree in Data Science, Software Engineering, or a related discipline from an accredited university in the United States, Canada, Australia, New Zealand, or the United Kingdom.

• Fundamental understanding of data science, statistics, machine learning, or quantitative analysis.

• Strong analytical and critical thinking abilities, with a keen eye for identifying errors in data-driven reasoning.

• Exceptional written English skills, with the capacity to clearly articulate technical and statistical concepts.

• Proficiency in systematically evaluating complex problems and providing accurate, well-supported feedback.

• Must currently reside in an English-speaking country.