
Technical Trainer
2 days ago
Job description:
We are looking for a highly skilled and experienced AI Trainer to join our team. The ideal candidate will have a proven track record in training AI/ML models, designing datasets, and enhancing model accuracy. This role requires strong expertise in AI training methodologies, annotation techniques, and the ability to deliver consistent results across multiple domains.
Job Title: AI Trainer
Location: Coimbatore
Experience: Minimum 5 Years
Employment Type: Full-Time / Part-Time
Key Responsibilities:
- Design, curate, and preprocess datasets for AI/ML model training.
- Train, evaluate, and fine-tune AI models to meet performance benchmarks.
- Develop and implement annotation guidelines, labeling strategies, and quality control processes.
- Work closely with data scientists and engineers to improve model accuracy and relevance.
- Monitor model performance, identify gaps, and provide continuous feedback for improvement.
- Ensure ethical AI practices, data privacy, and compliance with standards.
- Mentor and guide junior trainers or team members in AI training processes.
Requirements:
- Minimum 5 years of experience as an AI Trainer or in a related role (data labeling, AI/ML model training, NLP, CV, or speech recognition).
- Demonstrated track record of successful AI model training projects.
- Strong understanding of machine learning concepts, supervised/unsupervised learning, and annotation techniques.
- Hands-on experience with AI tools, frameworks, or platforms (TensorFlow, PyTorch, Hugging Face, etc.).
- Familiarity with large language models (LLMs), computer vision, or conversational AI systems.
- Excellent communication, documentation, and collaboration skills.
Nice to Have:
- Exposure to reinforcement learning, generative AI, or fine-tuning large pre-trained models.
- Experience in building domain-specific datasets.
- Certifications in AI/ML or data science.
Interested candidates send your resume to
Job Types: Full-time, Part-time, Permanent
Pay: ₹15, ₹35,000.00 per month
Work Location: In person
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