Back

[Remote] Data Annotator

Worldwide Salaried Open

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. They are seeking Data Annotators to assist in the development of generative AI and large language models by evaluating AI outputs 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 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

    More jobs

    [Remote] Generative AI Annotator

    Worldwide Salaried

    [Remote] AI Annotator

    Worldwide Salaried

    [Remote] AI Annotation Specialist

    Worldwide Salaried

    [Remote] AI Quality Analyst

    Worldwide Salaried

    [Remote] Italian AI Product Tester

    Worldwide Salaried

    [Remote] Labeler / Annotator – AI Response Evaluation (French)

    Worldwide Salaried

    [Remote] Ukrainian - Fluent Speakers - AI Training

    Worldwide Salaried

    [Remote] Thai - Fluent Speakers - AI Training

    Worldwide Salaried

    [Remote] Estonian Speakers - Test Voice Modes of AI Models

    Worldwide Salaried

    [Remote] AI Strategy Consultant, Frontier Tech

    Worldwide Salaried

    Part-Time Remote Data Entry Clerk – Flexible Schedule Opportunity | Database Management & Data Quality Assurance Position

    Worldwide Salaried

    Account Manager Hotels EMEA

    Worldwide Salaried

    Experienced Customer Service Representative – Work From Home Part-Time Opportunities at arenaflex

    Worldwide Salaried

    Director, Financial Planning & Analysis (FP&A)

    Worldwide Salaried

    Experienced Full Stack Customer Service Representative – Remote Customer Support and Sales

    Worldwide Salaried

    Experienced Full Stack Customer Support Specialist – Live Chat & Remote Work Opportunities

    Worldwide Salaried

    Open Jobs Assistant Marketing Manager, Influencer Marketing & Talent Relations (LA Studio)

    Worldwide Salaried

    Experienced Full Stack Data Entry Specialist – Remote Database Management for arenaflex

    Worldwide Salaried

    Remote Sales Representative -Entry Level Full Time & Part Time

    Worldwide Salaried

    2026 Photographer - Seasonal Tour Team

    Worldwide Salaried