All roles

[Remote] Data Annotation Specialist

Remote · USA Full-time New today

Note The job is a remote job and is open to candidates in USA. Innodata Inc. is a global data engineering company focused on advancing artificial intelligence through high-quality data solutions. They are seeking a Data Annotation Specialist to join their project-specific, part-time, remote team, where the individual will contribute to the development of generative AI and large language models by annotating and evaluating 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 High School Diploma or higher is required Professional or Expert level proficiency (C1/C2) in English Company Overview (NASDAQ INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. It was founded in 1988, and is headquartered in Hackensack, New Jersey, USA, with a workforce of 5001-10000 employees. Its website is http//www.innodata.com. Company H1B Sponsorship Innodata Inc. has a track record of offering H1B sponsorships, with 2 in 2024. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job Apply tot his job Apply To this Job

Related roles

AI Data Annotation Specialist (US) Freelance Role, Flexible Hours

Remote · USA Full-time

Visual Data Annotator - Fully Remote | Upto $30/hr

Remote · USA Full-time

[Remote] Data Annotation

Remote · USA Full-time

[Remote] Data Annotation Analyst (contract)

Remote · USA Full-time

[Remote] Data Annotation Analyst (contract)

Remote · USA Full-time

Data Annotation Specialist - AI Lab

Remote · USA Full-time

Network Engineer - Data Annotation

Remote · USA Full-time

AI Training Generalist (No Prior Experience Needed) - Freelance AI Trainer Project

Remote · USA Full-time

[Remote] Data Annotation Analyst (contract)

Remote · USA Full-time

[Remote] Data Annotation Analyst (contract)

Remote · USA Full-time

Experienced Product Reviewer – Valuable Insights for Informed Purchasing Decisions at arenaflex

Remote · USA Full-time

UI/UX

Remote · USA Full-time

Japanese Consecutive Interpreter

Remote · USA Full-time

Secondary English/Language Arts Teacher

Remote · USA Full-time

Customer Care Advocate - Remote

Remote · USA Full-time

Elements of Nutrition, Department of Applied Sciences and Professional Studies - Adjunct Faculty

Remote · USA Full-time

Experienced Remote Chat Support & Customer Service Representative – Delivering Exceptional Customer Experiences

Remote · USA Full-time

Experienced Remote Customer Service Expert – Work From Home Position Starting at $19/hr with Growth Opportunities

Remote · USA Full-time

[Hiring] Medical Records Support with Scheduling Assistant @Ascension Business Solutions LLC

Remote · USA Full-time

Technology Risk & Compliance Analyst

Remote · USA Full-time