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 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.
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.
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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 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 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 capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
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Be the first to know when matching positions are posted
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.
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.
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 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.
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.
Drive net-new business with enterprise accounts earning $2.5 billion or more by managing the full sales cycle. Build executive relationships and partner with internal teams to close high-value SaaS deals.
Design and build scalable ML data pipelines and translate R&D outputs into reusable libraries and products. Collaborate with customers and simulation engineers to embed AI models into practical engineering tools.
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Future Opportunities: Staff Software Engineer - Fuze Health
Fuze Health
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Full Time
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2 Days Ago
Fuze Health
Define the long-term technical vision and architectural roadmap for B2B and consumer digital pharmacy platforms. Act as a technical leader and force multiplier to ensure system scalability, security, and engineering excellence across multiple agile squads.
Own the end-to-end audio signal chain and post-processing pipeline to ensure a consistent acoustic sound signature for AI datasets. Define technical specifications and build automated QA checks to validate audio quality across diverse recording environments.
Robotics Solutions Engineer – Robotics Data Collection & Physical AI
Innodata Inc.
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Full Time
·
2 Days Ago
Innodata Inc.
Design and implement robotics data capture solutions and technical pilots to help customers build Physical AI systems. Act as a technical partner to bridge the gap between customer requirements and the delivery of high-quality robotics datasets.
Lead and manage a team of software engineers to architect and maintain scalable, fault-tolerant Python backend services across multi-cloud environments. Bridge the gap between business strategy and technical execution while mentoring engineers and owning Agile ceremonies.
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