Generative AI Specialist – Humanities, English, Swedish

Job not on LinkedIn

November 21

🏈 Alabama – Remote

Although this job is listed in Alabama, this company may be open to hiring remote in other states.

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

+36 more states

🏈 Alabama – Remote 🌵 Arizona – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $25 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

Apply Now

Receive Emails with Similar Jobs

Innodata Inc.

WebsiteLinkedInAll Job Openings

(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

1001 - 5000 employees

📋 Description

• Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. • Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. • Classification: Assigning predefined categories or labels to items. • Content Quality: Evaluating the perceived quality and/or appropriateness of content. • Content Understanding: Generating labels to advance understanding of a concept, trend etc. • Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images, generating new text, or altering audio/video signals. • Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. • Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. • Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. • Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. • Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale. • Response Generation: Generating responses to prompts or questions using a language model or other AI system. • Response Rewrite: Rewriting existing text while preserving the original meaning. • Response Summarization: Producing concise summaries of longer pieces of text or data. • Similarity Evaluation: Projects where content is compared in order to drive a determination. • Transcription: Converting spoken language or audio content into written text. • Translation: Converting text or spoken language from one language to another. • Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models.

🎯 Requirements

• A Bachelor’s degree or higher in a humanities specialization is required • Advanced degrees are strongly preferred (Master’s or PhD) • Professional or Expert level proficiency (C1/C2) in English and Swedish

🏖️ Benefits

• Flexible work arrangements • Opportunity to work with leading technology companies • Inclusive environment