Generative AI Specialist – Bilingual, Turkish, English

Innodata Inc.

Generative AI Specialist contributing to AI development for leading tech companies. Part-time, remote opportunity focusing on project-specific tasks.

Posted 4/13/2026part-timeRemote • Alabama, Arizona, Connecticut, Florida, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, New Hampshire, New Jersey, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesMid-LevelSenior💰 $15 per hourWebsite

About the role

Key responsibilities & impact

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.
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 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

What you’ll need

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 Turkish

Benefits

Comp & perks

Innodata is committed to creating an inclusive environment for all employees and applicants

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI model evaluationannotation labelingclassificationcontent quality evaluationdata augmentationgradingpreference rankingprompt generationresponse generationtranscription