Location: All cities,NY, USA
Robert Half is currently looking for candidates fluent in German, Portuguese or Italian to join the AI technology solutions provider-of-choice to 4 out of 5 of the world s biggest technology companies as a Generative AI Associate!
This is the role that writers and linguists dream about: you ll be teaching the next generation of Large Language Models about what makes language special. Our client is leading the industry in training generative AI in how to think, not just how to write.
Start Date: Must be able to start in May 2024 (no exceptions)
Hours: Full-time employee for our client, flexible hours
Salary: $59,000/year & FTE benefits
Location: Fully Remote
Candidates MUST be fluent in German, Portuguese or Italian.
Education and Abilities
Excellent writing skills
Excellent verbal and written communication
Strong understanding of language, from grammar to semantics and beyond
Ability to edit and improve communication across a wide variety of fields
Creative thinker
Attentive to detail
Well-honed internet research skills
Embraces diverse teams
Navigates ambiguity with grace
Self-sufficient with a strategic, big picture mindset
Nimble and capable of shifting between a task-oriented and project-oriented perspective
Bachelor s degree required
Tell Me More
As a Generative AI Associate on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. We re seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we re happy and excited to train you in unlocking the potential of generative AI. Below are some responsibilities and tasks of our Generative AI Associate role:
Providing thought leadership on how the next generation of generative AI should think and write
Creating training data sets for AI models that will help the models improve fluency, coherence, and voice.
Spearheading RLHF (reinforcement learning through human feedback) and fine-tuning training data sets for AI as needed
Annotating data to help AI models align to human values
Creating and adhering to the rule book on how AI should respond to human queries
Analyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data as well as AI model-generated text to ensure it adheres to linguistic rules and conventions
Collaborate closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate on the AI models.
Compensation and benefits and career growth opportunities.