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AI Trainer
互联网、AI·人工智能
AI trainers design, train and optimize AI models to ensure efficient and accurate performance in real-world scenarios.
Daily work
- 01Collect and clean large-scale training data to ensure data quality
- 02Build and train AI models using frameworks like TensorFlow and PyTorch
- 03Tune hyperparameters and optimize model architecture to improve accuracy
- 04Evaluate model performance and analyze results, write technical reports
- 05Track cutting-edge algorithms and apply new techniques to projects
Ability requirements
Hard skills
- Machine learning and deep learning algorithms
- Python programming and data processing (NumPy, Pandas)
- Frameworks such as TensorFlow and PyTorch
- Data cleaning and feature engineering
Soft skills
- Logical analysis and problem-solving
- Continuous learning ability
- Cross-team collaboration and communication
- Result-orientation and attention to detail
Best suited for
Ideal for those with clear logic, passion for technology, continuous learning, and attention to detail, who enjoy data-driven decision making.
Less suited for
Not suitable for those who lack patience, dislike repetitive data work, find abstract theory tedious, or are poor at teamwork.
Salary (monthly)
Pre-tax estimate, tier-1 cities with social insurance · reference only
Profile
MBTI Fit
Resume examples for this role
Disclaimer: Salary figures on this page are estimated pre-tax monthly pay for positions with social-insurance contributions in China's tier-1 cities; other cities are converted using regional coefficients. Dimension scores and MBTI fit are editorial estimates, provided for reference only, and do not constitute any promise or advice.