SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies. In this role, you will review AI-generated engineering solutions and generate expert Mechanical Engineering content, providing feedback on accuracy and clarity.
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
Requirements:
- Bachelor's degree (or higher) in Mechanical Engineering, Aerospace Engineering, or Engineering Physics (Thermo/Heat Transfer/Fluids/Statics-Dynamics/Differential Equations)
- Strong, confident fundamentals in mechanics, thermodynamics, fluid mechanics, applied physics, engineering math, and system modeling
- Comfortable evaluating technical solutions for correctness, methodology, units/dimensional consistency, assumptions, and physical plausibility with high attention to detail
- Able to clearly explain reasoning and corrections in writing; Minimum C1 English proficiency
- Experience applying basic design principles (requirements, constraints, margins, trade-offs) in real engineering contexts
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones
- Previous experience with AI data training/annotation or technical reviewing is strongly preferred