Establish and scale a global sourcing and distribution operation for used and academic books. Manage the full procurement lifecycle, including supplier negotiations, international logistics, customs clearance, and inventory management.
Innodata Inc.
45 Remote Job Openings at Innodata Inc.
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 through text generation and transformation. Responsibilities also include rewriting text for clarity and gathering diverse digital content to fine-tune LLMs.
Lead new logo acquisition for the Enterprise AI Business Unit by driving pipeline and closing high-value enterprise deals. Build executive relationships with CxOs to position Innodata's AI implementation and operationalization services.
The specialist will rate AI model performance, label content, and create training data to improve LLM reasoning and language capabilities. Responsibilities include rewriting text, generating prompts, and compiling diverse datasets for machine learning 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 to written text 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.
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 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 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 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 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 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.
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 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.
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 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 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 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 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.
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.
Voice Recording Specialist - Japanese and Chinese
Innodata Inc.
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Full Time
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5 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 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 model fine-tuning.
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
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5 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.
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.
The role involves partnering with customers in presales to design high-quality audio data collection programs for speech AI models. Additionally, the architect serves as a technical thought leader by producing research, speaking at conferences, and establishing the company's technical credibility in the audio market.
Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc.
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Full Time
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5 days ago
Innodata Inc.
Lead research and experimentation on LLM evaluation and post-training methods to drive model improvement. Design rigorous frameworks, benchmark datasets, and scoring methodologies for multimodal and large language models.
The role involves designing and maintaining scalable ETL/ELT data pipelines and infrastructure. Additionally, the intern will build and evaluate RAG pipelines and integrate LLM APIs into data products.
The Product Manager will lead a cross-functional team through a simulated product development workflow, defining requirements and driving feature prioritization. They are responsible for facilitating team discussions, managing documentation, and ensuring alignment on project goals and timelines.
The designer will create mockups, flows, and design concepts while collaborating with product and engineering teams to refine user experiences. They will also present design decisions and iterate based on feedback to support AI-driven processes.
Generative AI Specialist - Red Team (English and French)
Innodata Inc.
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Full Time
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3 months ago
Innodata Inc.
The role involves evaluating, annotating, and classifying AI model outputs to improve language and reasoning capabilities. Specialists will also perform data augmentation, prompt generation, and content quality assessments to support the development of large language models.
Generative AI Associate - Red Teaming Specialist
Innodata Inc.
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Full Time
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6 months ago
Innodata Inc.
As a Red Teaming Specialist, you will craft prompts to test the robustness of large language models and collaborate with a global team to identify vulnerabilities. You will also assist data scientists in conducting automated model attacks.
