
Generative AI Associate
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in Vermont.
• Evaluating and assessing the performance of AI models or algorithms by analyzing their output or behavior through a series of evaluative questions.
• Labeling specific elements within a piece of content rather than the content as a whole.
• Assigning predetermined categories or labels to various items.
• Assessing the perceived quality and/or suitability of content.
• Generating labels to enhance understanding of concepts, trends, etc.
• Creating additional training data for machine learning models by applying transformations to 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 project guidelines.
• Labeling model outputs to identify if specific content is or is not something. Examples include identifying clickbait, gaming videos, or branded content.
• Ordering or ranking items based on established preferences or criteria.
• Creating prompts or questions intended for generating responses from a language model or other AI systems.
• Conducting projects that assess the relevance of content using a relevancy scale (1-3, 1-5, etc.).
• Generating responses to prompts or questions utilizing a language model or other AI systems.
• Rewriting existing text while retaining original meaning, often to enhance clarity, style, and 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, which may include text, images, videos, audio files, or other types of digital content.
• A Bachelor’s degree or higher in a humanities discipline is required, with advanced degrees (Master’s or PhD) being strongly preferred.
• Professional or expert-level proficiency (C1/C2) in English is essential.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Flexible work arrangements and a supportive work environment.
• Access to the latest tools and technologies in AI.
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