The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
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The role involves rating, labeling, and ranking AI model outputs to improve the reasoning and language capabilities of LLMs. Responsibilities include creating prompts, generating training data, and rewriting text for clarity and adherence to guidelines.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for machine learning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
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The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for machine learning.
The role involves rating AI model performance, labeling data, and creating prompts to improve the reasoning and language capabilities of LLMs. Responsibilities also include generating training data through text transformation, summarization, and translation.
The specialist will rate AI model performance, label content, and create training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating prompts to train large language models. Responsibilities also include generating training data through text transformation, summarization, and translation.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language content to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through text generation and modification. Responsibilities also include rewriting text for clarity and converting audio content into written text to improve LLMs.
The role involves rating AI model performance, labeling content, and creating training data to improve LLMs. Responsibilities include generating prompts, rewriting text for clarity, and converting audio to text.
The role involves rating AI model performance, labeling content, and creating training data through text generation and modification. Responsibilities also include rewriting text for clarity and converting audio to written text to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio to written text to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or text between languages to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio to written text to improve LLM reasoning.
Get new remote jobs delivered to your inbox
Be the first to know when matching positions are posted
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language content to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or text between languages to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language skills. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and converting audio to text or translating between languages.
The role involves rating AI model performance, labeling content, and creating prompts to improve LLM reasoning and language capabilities. Responsibilities also include generating training data through text transformation, summarization, and translation.
Design and implement prompt strategies to automate and optimize data annotation and human evaluation workflows. Collaborate with cross-functional teams to translate business requirements into scalable AI-driven solutions for data labeling and localization.
The specialist will record high-quality scripted and conversational audio in Japanese while ensuring proper pronunciation and tone. They will also perform audio reviews and support transcription and language quality assurance tasks.
Voice Recording Specialist - Japanese and Chinese
Innodata Inc.
·
Full Time
·
2 Days Ago
Innodata Inc.
The specialist will record high-quality scripted and conversational audio in Chinese and Japanese. They will also perform audio reviews, transcription, and annotation to ensure language quality and consistency.
Get new remote jobs delivered to your inbox
Be the first to know when matching positions are posted
The role involves rating AI model performance, labeling content, and creating prompts to train large language models. Responsibilities also include rewriting text, summarizing data, and converting audio to text to improve AI reasoning and quality.
The role involves rating AI model performance, labeling data, and creating prompts to improve the reasoning and language capabilities of LLMs. Responsibilities also include rewriting text, summarizing content, and gathering diverse datasets for machine learning training.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language to improve LLM reasoning and quality.
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