Data Scientist

About the Role

As a Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, modeling choices, or statistical reasoning; fact-check quantitative claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.

This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs.

Key Responsibilities

• Develop AI training content: create detailed prompts and reference responses to guide model learning across diverse topics.
• Evaluate and rank AI responses to improve accuracy, fluency, and contextual relevance.
• Review AI-generated analytical reasoning, code, and model outputs for methodological and statistical correctness.
• Write clear, step-by-step explanations and high-quality reference solutions that demonstrate correct methods.
• Identify and document errors in methodology, modeling choices, or statistical reasoning and compare multiple AI responses based on reasoning quality.

Qualifications

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
• 5+ years of professional experience as a Data Scientist or in a closely related analytical role, working on end-to-end machine learning projects.
• Strong proficiency in Python for data analysis and machine learning, including libraries such as pandas, NumPy, scikit-learn, and related tooling.
• Solid background in statistics, experimental design, and applied probability, with experience designing and analyzing controlled experiments.
• Hands-on experience building, evaluating, and deploying machine learning models in real-world product or business environments.
• Advanced SQL skills and comfort working with large, complex datasets from data warehouses or data lakes.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear quantitative explanations and follow detailed English-language guidelines.
• Experience with data visualization tools or dashboards and the ability to present analytical findings to stakeholders.
• Previous experience with AI data training, annotation, or reviewing AI-generated analytical content is a strong plus.
• Highly detail-oriented and systematic, with a strong focus on quality, reproducibility, and careful evaluation of reasoning steps.

Additional Information

• There is no immediate project for this role; if qualified you will be among the first experts contacted when relevant opportunities arise and gain access to future projects through the expert network.
• Employment type: fully remote, hourly paid contractor role with SME Careers (subsidiary of SuperAnnotate).