
Generative AI Specialist – English
Innodata Inc.
part-time
Posted on:
Location Type: Remote
Location: Remote • Alabama, Idaho, Iowa, Kansas, Kentucky, Louisiana, Minnesota, Mississippi, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United States
Visit company websiteSalary
💰 $14 per hour
Job Level
Mid-LevelSenior
About the role
- 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.
- Grading: Reviewing data and identifying whether or not a product feature works as intended.
- 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.
- Response Generation: Generating responses to prompts or questions using a language model.
- 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.
Requirements
- A Bachelor’s degree or higher is required.
- Professional or Expert level proficiency (C1/C2) in English.
- Applicants must be legally authorized to work in the United States at the time of hire.
- Innodata is unable to provide visa sponsorship now or in the future for this position.
Benefits
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI model evaluationannotation labelingclassificationcontent quality evaluationdata augmentationgradingidentification labelingpreference rankingprompt generationresponse generation
Soft skills
attention to detailanalytical thinkingproblem-solvingcommunicationorganizational skills
Certifications
Bachelor's degree