Machine Learning & AI Engineer - AI trainer
Required Skills
Job Description
Job Title: Machine Learning & AI Engineer - AI trainer
Job Type: Part-time; Paid per task
Location: Remote
Job Summary
Join our customer's team as a Machine Learning & AI Engineer - AI trainer, where you will help shape the future of AI systems through high-impact training and evaluation. In this dynamic remote role, you’ll apply your technical expertise and communication skills to elevate the performance of cutting-edge AI models while collaborating with an enthusiastic, forward-thinking team.
Key Responsibilities
- Design, develop, and implement machine learning models focused on AI training and improvement.
- Create, refine, and execute full-spectrum prompting strategies for advanced AI systems.
- Curate, annotate, and evaluate datasets to enhance AI model performance and reliability.
- Analyze system outputs, provide actionable feedback, and recommend iterative improvements.
- Collaborate closely with cross-functional members to identify training needs and define technical requirements.
- Document processes and insights clearly, ensuring reproducibility and scalability of training methodologies.
- Communicate findings effectively in both written and verbal formats, contributing to technical discussions and team knowledge sharing.
Required Skills and Qualifications
- Bachelor’s degree in computer science or a related discipline.
- Minimum of 2 years’ hands-on experience in machine learning and AI engineering.
- Proficiency in developing and deploying machine learning models and frameworks.
- Experience designing and iterating prompt-based AI training approaches.
- Strong written and verbal communication skills, with a keen attention to clarity and detail.
- Ability to work independently and self-motivate in a fully remote, collaborative environment.
- Proficiency with Python and common ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
Preferred Qualifications
- Advanced degree (Master’s or PhD) in computer science, artificial intelligence, or a related field.
- Previous experience as an AI trainer or in prompt engineering for LLMs and generative models.
- Background in data curation, annotation, or evaluation for supervised and unsupervised learning.