Generative AI Associate Turkish Speaking - Flexible Hours

Innodata; United States; Hybrid; USD 21,000 - 28,000; Part time

Job summary

Innodata is seeking a Turkish-speaking Generative AI Associate for a flexible, part-time, remote role. You will join a global contributor community as an SME on Demand, helping to train and evaluate large language models while maintaining control over your schedule.

Ideal candidates hold a humanities degree with strong English and Turkish skills (C1/C2). This contract-style position emphasizes scalability, responsible AI practices, and remote collaboration across time zones.

Qualifications

• Bachelor's degree or higher in humanities required; advanced degrees preferred.
• Professional or expert level proficiency in English and Turkish (C1/C2).

Responsibilities

• Rating/assessing the performance of AI models or algorithms based on evaluative questions.
• Labeling elements of content rather than the entire piece.
• Assigning predefined categories or labels to items.
• Evaluating perceived quality and/or appropriateness of content.
• Generating labels to advance understanding of concepts or trends.
• Creating training data via transformations (text, images, audio/video).
• Reviewing data against project guidelines to verify feature behavior.
• Labeling model outputs to identify content type or quality (e.g., clickbait, branded content).
• Ordering or ranking items by preferences or criteria.
• Creating prompts or questions to generate model responses.
• Evaluating relevance on scoring scales (1–3, 1–5, etc.).
• Generating responses to prompts using a language model.
• Rewriting text to preserve meaning while improving clarity and style.
• Producing concise summaries of longer text or data.
• Converting speech to written text.
• Translating text or spoken language between languages.
• Gathering and compiling data for training, evaluation, or fine-tuning.

Skills

Turkish

English

Education

Bachelor's degree in humanities

Job description

Generative AI Associate Turkish Speaking - Flexible Hours

Remote - United States

Innodata(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role:

At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.

This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

What You’ll Own:

• Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
• Labeling elements of a piece of content rather than the content as a whole.
• Assigning predefined categories or labels to items.
• Evaluating the perceived quality and/or appropriateness of content
• Generating labels to advance understanding of a concept, trend etc.
• Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
• Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
• Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
• Ordering or ranking items based on a set of preferences or criteria.
• Creating prompts or questions that will be used to generate responses from a language model or other AI system.
• Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
• Generating responses to prompts or questions using a language model or other AI system.
• Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
• Producing concise summaries of longer pieces of text or data.
• Converting spoken language or audio content into written text.
• Converting text or spoken language from one language to another.
• Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You’ll Thrive in This Role If You Have:

• A Bachelor’s degree or higher in ahumanities specializationis required. Advanced degrees are strongly preferred (Master’s or PhD)
• Professional or Expert level proficiency (C1/C2) in English and Turkish

The expected hourly salary range for this position is $15-$20 p/hour, based on experience, skills, and qualifications.

As set forth in Innodata Inc.’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.