Mobile Engineer - AI trainer

Required Skills

Job Description

Job Title: Mobile Engineer - AI trainer

Job Type: Part-time; Paid per task

Location: Remote

Job Summary:

Join our customer's team as a Mobile Engineer - AI trainer and play a pivotal role in shaping next-generation AI-powered mobile applications. In this unique, part-time opportunity, you’ll leverage your expertise in mobile engineering to drive full-cycle prompting for AI trainers, ensuring seamless integration of AI solutions in mobile environments. Collaborate remotely with a forward-thinking team passionate about innovation and exceptional communication.

Key Responsibilities:

  • Design, develop, and refine mobile application features that facilitate AI training and data collection.
  • Create and optimize prompt workflows for full-cycle AI model training on mobile platforms.
  • Collaborate closely with cross-functional teams to translate AI requirements into robust mobile solutions.
  • Conduct rigorous testing and validation of AI-driven functionalities within mobile apps.
  • Document engineering processes, requirements, and feedback clearly for both technical and non-technical stakeholders.
  • Continuously explore emerging trends in mobile engineering and AI integration to enhance project outcomes.
  • Participate in remote team meetings, articulating complex ideas clearly in both written and verbal formats.

Required Skills and Qualifications:

  • Bachelor’s degree in Computer Science or a related field.
  • Minimum 3 years of hands-on experience in mobile engineering (iOS/Android).
  • Proven experience working with AI-powered or data-driven mobile applications.
  • Deep understanding of full-cycle prompting and AI training processes.
  • Strong written and verbal communication skills; ability to convey complex information effectively.
  • Proficiency with mobile development frameworks, APIs, and integration of ML/AI technologies.
  • Self-motivated and comfortable working independently in a remote environment.

Preferred Qualifications:

  • Experience with mobile ML toolkits (e.g., TensorFlow Lite, Core ML).
  • Background in designing human-in-the-loop AI systems.
  • Demonstrated passion for continuous learning in AI and mobile technologies.

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