דרושים Data Engineer - AI Trainer בכל הארץ

Job Title: Data Engineer - AI trainer

Job Type: Part-time

Location: Remote

Job Summary

Join our customer’s team as a Data Engineer - AI trainer and work at the intersection of data engineering and advanced AI training. You will play a pivotal role in designing and implementing data engineering solutions specifically tailored for AI model development, leveraging your Subject Matter Expertise (SME) in big data.

Key Responsibilities

• Collaborate with AI and engineering teams to create and refine high-quality prompts for training generative AI models focused on data engineering topics.
• Develop, curate, and optimize datasets to enhance AI learning and performance.
• Establish best practices for data engineering workflows that support scalable and robust AI solutions.
• Serve as SME for big data technologies, providing guidance in architectural decisions and technical challenges.
• Design and document full-cycle prompt creation processes, ensuring clarity and reproducibility.
• Communicate complex technical ideas clearly in both written and verbal formats, supporting both technical and non-technical stakeholders.
• Continuously monitor, evaluate, and improve data pipelines and training data quality.

Required Skills and Qualifications

• Proven experience in data engineering and big data environments (e.g., Hadoop, Spark, Kafka, cloud platforms).
• Expertise in constructing, maintaining, and optimizing data pipelines for AI/ML applications.
• Demonstrated ability to create technical documentation and clear instructional materials.
• Exceptional written and verbal communication skills, with a strong attention to detail.
• Proficient in prompt engineering for AI training, including data generation and validation.
• Ability to work independently and collaboratively within a remote, cross-functional team.
• Experience troubleshooting and resolving data-related issues efficiently.

Preferred Qualifications

• Prior experience as an AI trainer or in AI/ML prompt engineering projects.
• Advanced degree in Computer Science, Data Engineering, or related field.
• Familiarity with generative AI models and their data requirements.