
Product Manager - AI trainer
Required Skills
Job Description
Job Title: Product Manager - AI trainer
Job Type: Part-time
Location: Remote
Job Summary
Join our customer's team as a Product Manager - AI trainer and play a pivotal role in shaping the next generation of AI-driven products. In this dynamic, part-time remote position, you will leverage your expertise in product management to create impactful prompts and lead the full prompt engineering lifecycle for AI training.
Key Responsibilities
- Own and manage the end-to-end prompt creation cycle, from ideation to validation and iteration.
- Collaborate closely with data scientists, engineers, and product stakeholders to identify training needs and develop optimal AI training strategies.
- Design, author, and refine high-quality prompts that drive robust AI model performance and accuracy.
- Analyze AI model outputs, gather feedback, and iterate prompts to maximize learning efficacy.
- Document workflows, methodologies, and insights to build a scalable prompt library.
- Ensure timely delivery of prompt training projects and communicate progress clearly to all stakeholders.
- Champion best practices in AI training, prompt engineering, and cross-functional team collaboration.
Required Skills and Qualifications
- Proven experience in product management, preferably within AI, machine learning, or prompt engineering environments.
- Exceptional written and verbal communication skills, with a keen eye for clarity and detail.
- Strong analytical mindset, capable of interpreting AI outputs and identifying optimization opportunities.
- Hands-on experience creating, testing, and refining prompts for AI models.
- Comfort working asynchronously within distributed, remote teams.
- Ability to prioritize tasks, manage time effectively, and adapt to a fast-paced, evolving landscape.
- Passion for continuous learning and a proactive approach to problem-solving.
Preferred Qualifications
- Background in AI model training, natural language processing, or prompt engineering frameworks.
- Experience working in startups or agile product environments.
- Demonstrated success driving cross-functional initiatives that improved AI product outcomes.