
Generative AI Associate
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in Michigan.
• Evaluating and assessing the performance of AI models or algorithms based on their output or behavior through a series of evaluative questions.
• Labeling specific elements within a piece of content instead of labeling the entire content.
• Assigning predefined categories or labels to various items.
• Assessing the perceived quality and appropriateness of content.
• Generating labels to enhance the understanding of concepts, trends, etc.
• Creating additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to minimize overfitting and enhance dataset diversity.
• Reviewing data to determine whether a product feature functions as intended according to the project's guidelines.
• Labeling model outputs to ascertain whether a piece of content meets certain criteria. Examples include identifying clickbait, gaming videos, or branded content.
• Ordering or ranking items based on specified preferences or criteria.
• Creating prompts or questions that will be utilized to elicit responses from a language model or other AI systems.
• Conducting projects that assess the relevance of content based on a relevance scale (1-3, 1-5, etc.).
• Generating responses to prompts or questions using a language model or other AI systems.
• Rewriting existing text while maintaining the original meaning, often to enhance clarity or style and ensure adherence to guidelines.
• Producing concise summaries of longer texts or data.
• Transcribing spoken language or audio content into written text.
• Translating text or spoken language from one language to another.
• Collecting and compiling various forms of data for training, evaluating, or fine-tuning AI models. This may include text, images, videos, audio files, or other types of digital content.
• A Bachelor’s degree or higher in a humanities specialization is mandatory. Advanced degrees (Master’s or PhD) are highly preferred.
• Professional or expert-level proficiency (C1/C2) in English.
• Opportunity to work on cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
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