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Innodata

Delivers AI data engineering services

Generative AI Associate

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Part-timeRemote in USA$25 - $30 /hrRemote

About the Job

Requirements

  • A PhD is required.
  • Professional or expert-level proficiency (C1/C2) in English is required.

Responsibilities

  • Rate or 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 a concept or trend.
  • Create additional training data for machine-learning models by transforming original data, including modifying images, generating text, or altering audio/video signals to increase dataset diversity and reduce overfitting.
  • Review data and determine whether product features work as intended according to project guidelines.
  • Label model outputs to identify content characteristics, such as clickbait, gaming videos, or branded content.
  • Order or rank items using preferences or criteria.
  • Create prompts or questions for language models or other AI systems, and generate responses to prompts or questions using those systems.
  • Evaluate content relevance using a relevance scale.
  • Rewrite text while preserving its meaning and following clarity, style, and project 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, videos, audio, or other digital content for training, evaluating, or fine-tuning AI models.

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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