Generative AI Engineer

Remote, USA Full-time Posted 2025-08-02
    About Turing.com:Turing?s mission is to unleash the world?s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the ?Talent Cloud?.We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 1000+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, have hired Turing developers.About the role:Turing.com is looking for Generative AI Engineer who will work on generative AI model development and training, encompassing text, image, and videoJob Responsibilities:
  • Work on generative AI model development and training, encompassing text, image, and video
  • Investigate, create, and construct new models for the generation of text, images, and videos by adjusting and changing core models to our particular use case
  • Lead the creation of pipelines for cleaning and preparing data in order to facilitate model training
  • Conduct exhaustive testing to validate the accuracy and dependability of AI models, ensuring that they function effectively in practical applications
  • Provide meticulous documentation for research activities, methodologies employed, and model implementations, contributing to the knowledge base and technical clarity
  • Work collaboratively with our multi-disciplinary team to integrate AI models into the existing system architecture, guaranteeing a smooth rollout and ability to scale
  • Make the models deployment-ready
    • Job Requirements:
  • Bachelor?s/Master?s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a Doftware Developer
  • At least 1-3 years of experience in Python
  • Prior experience as an annotator for renowned AI/LLM companies will be considered a significant advantage
  • Thorough understanding and practical application of Python in data-related contexts
  • Be intelligent and diligent while possessing a keen eye for detail and a commitment to excellence
  • Professional proficiency in English is a must, with exceptional writing and critical analysis skills
  • Candidates who are multilingual will be given preference

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