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Innodata

Delivers AI data engineering services

Generative AI Associate

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Part-timeSouth Dakota, USA$15 /hrRemote

About the Job

Requirements

  • A bachelor's degree or higher in a humanities specialization is required.
  • Professional or expert-level English proficiency (C1/C2) is required.

Responsibilities

  • Rate and assess AI model or algorithm performance based on outputs or behavior using evaluative questions.
  • Label elements of content, assign predefined categories or labels, and evaluate content quality or appropriateness.
  • Generate labels to advance understanding of concepts or trends.
  • Create additional machine-learning training data by transforming original data, including modifying images, generating text, or altering audio/video signals to reduce overfitting and increase dataset diversity.
  • Review data to determine whether product features work as intended according to project guidelines.
  • Label model outputs to identify specified content or features, such as clickbait, gaming videos, or branded content.
  • Order or rank items based on preferences or criteria.
  • Create prompts or questions for language models or other AI systems.
  • Evaluate content relevance using a relevance scale.
  • Generate responses to prompts or questions using language models or other AI systems.
  • Rewrite text while preserving its meaning, including to improve clarity, style, and adherence to guidelines.
  • Summarize longer text or data concisely.
  • Transcribe spoken language or audio content into written text.
  • Translate text or spoken language between languages.
  • Gather and compile text, images, video, audio, or other digital data for training, evaluating, or fine-tuning AI models.

Desired Qualifications

  • An advanced degree (master's or PhD) is strongly preferred.

About the Company

Innodata

Delivers AI data engineering services

Innodata is a global data engineering firm that provides AI-enabled software platforms and managed services to create high-quality training data and data pipelines for AI and generative models. It combines proprietary technology with a worldwide workforce of experts to perform data collection, creation, annotation, synthetic data generation, model deployment, and evaluation. Its core DDS segment, along with Synodex and Agility, offers domain-specific data, healthcare data transformation, and media monitoring capabilities. The company aims to enable reliable, safe, and effective AI systems by supplying training data and end-to-end AI lifecycle services across multiple industries.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Ridgefield Park, NJ
Founded
1988

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