Innodata Inc.
Posted 75 days agoVerified live 2d ago
AI Content - Flexible Hours
Brief overview
Remote
UndergradOr in progress
$15/hrStated minimum
2 H-1B approvalsDept. of Labor
Generative AILarge Language Models (LLMs)AI model evaluationContent labelingData annotationMachine learning training data creationText paraphrasingText summarizationAudio/video signal processingLanguage translationEnglish proficiency C1/C2
About the company
Innodata Inc.innodata.com
(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked.
Visa sponsorship history
1 year sponsoring, last filed FY2024
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.2H-1B approved
100%approval rate
$193,005median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20242
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20242
Top sponsored roles
Program LeadAccount Manager
Job description
Summary
Innodata Inc. is a global data engineering company focused on advancing artificial intelligence. They are seeking a Generative AI Specialist to contribute to AI development through flexible, project-specific tasks that include evaluating AI models and generating training data.
Responsibilities
- Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions
- Labeling elements of a piece of content rather than the content as a whole
- Assigning predefined categories or labels to items
- Evaluating the perceived quality and/or appropriateness of content
- Generating labels to advance understanding of a concept, trend etc
- Creation of 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 reduce overfitting and increase dataset diversity
- Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines
- Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content
- Ordering or ranking items based on a set of preferences or criteria
- Creating prompts or questions that will be used to generate responses from a language model or other AI system
- Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.)
- Generating responses to prompts or questions using a language model or other AI system
- Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines
- Producing concise summaries of longer pieces of text or data
- Converting spoken language or audio content into written text
- Converting text or spoken language from one language to another
- Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content
Skills
- A Bachelor's degree or higher in a humanities specialization is required
- Professional or Expert level proficiency (C1/C2) in English
- Advanced degrees are strongly preferred (Master's or PhD)
Qualifications
Must Haves
- A Bachelor's degree or higher in a humanities specialization is required
- Professional or Expert level proficiency (C1/C2) in English
Nice to Haves
- Advanced degrees are strongly preferred (Master's or PhD)