Note: The job is a remote job and is open to candidates in USA. SME Careers is 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. As a Data Scientist, you will review AI-generated analytical reasoning, code, and model outputs, while generating high-quality reference solutions and explanations for complex data problems. Your expertise will contribute to improving premier AI models used across various products and industries.
Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases
Skills
- 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 business or product 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
- Highly detail-oriented and systematic, with a strong focus on quality, reproducibility, and careful evaluation of reasoning steps
- Previous experience with AI data training, annotation, or reviewing AI-generated analytical content is a strong plus
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