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Generative AI Specialist – Bilingual (Turkish and English)

Innodata

AI Domain Experts Part-time
United States $28 – $28/hr April 14, 2026

Job description

About Innodata

Innodata (NASDAQ: INOD) is a global data engineering and AI solutions company serving over 2,000 customers worldwide. With operations across multiple countries, Innodata partners with leading technology companies to develop cutting-edge AI systems and large language models (LLMs).

Role Overview

Innodata is seeking a Generative AI Specialist (Bilingual – Turkish and English) to join its global contributor network.

This is a flexible, part-time, project-based role designed for professionals who want to contribute to AI development while maintaining control over their schedule. Please note that this position is part of a talent pipeline for future opportunities and may not have an immediate opening.

You will help train and evaluate AI systems, improving how models understand language, reasoning, and content quality.

Key Responsibilities

You may work across a variety of AI training tasks, including:

  • Evaluating AI model outputs for quality and accuracy
  • Annotating and labeling content elements
  • Classifying data into predefined categories
  • Generating and refining prompts for AI systems
  • Ranking responses based on quality or relevance
  • Rewriting and summarizing AI-generated content
  • Translating and transcribing multilingual content
  • Creating and augmenting datasets for AI training
  • Performing relevance and similarity evaluations
  • Assessing feature performance and grading outputs

Required Qualifications

  • Bachelor’s degree or higher in a humanities-related field
  • Advanced degree (Master’s or PhD) preferred
  • Professional-level proficiency (C1/C2) in:
    • Turkish
    • English
  • Strong analytical, linguistic, and reasoning skills
  • Ability to follow detailed guidelines and evaluation frameworks

Work Details

  • Work Type: Fully remote
  • Schedule: Flexible, up to 28 hours per week
  • Project-based, on-demand contributions

Additional Notes

  • This role is for future opportunities (talent pipeline)
  • Must be legally authorized to work in the United States
  • No visa sponsorship available
  • Equal opportunity employer with inclusive hiring practices
  • Be cautious of recruitment scams — Innodata will never request payment or sensitive financial information
Apply now

You will be redirected to the company's website to complete your application.

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Frequently asked questions

Is Innodata legitimate?
Yes, Innodata is a legitimate, publicly traded company (NASDAQ: INOD) that has been in operation since 1988. Listed on RemoWork, Innodata serves major technology companies and enterprises worldwide. As always, we recommend verifying details on their official website and checking user reviews before applying.
How do I get started with Innodata?
Visit Innodata's official careers page to browse open positions. Create an account, submit your application with relevant qualifications and experience, and complete any required assessments (typically a General English test and Versant proficiency test). Some roles may involve additional technical evaluations or interviews.
Does Innodata offer remote work?
Yes, Innodata offers fully remote positions, particularly for data annotation, AI training, and Generative AI Associate roles within the US (some state exclusions may apply). The company also has on-site positions at offices in the Philippines, India, Sri Lanka, and other global locations.
How does Innodata pay its workers?
Innodata offers competitive compensation that varies by role, experience level, and location. Full-time employees receive standard payroll with benefits. Freelance and contract workers are compensated based on project terms. Specific payment details are discussed during the hiring process.
What skills do I need to work with Innodata?
Required skills vary by role. Data annotators need strong English, attention to detail, and the ability to follow complex guidelines. AI engineers need Python proficiency, ML framework experience, and relevant degrees. All roles value analytical thinking, adaptability, and a passion for AI and data quality.
What types of annotation tasks does Innodata offer?
Innodata provides a comprehensive range of annotation services including image annotation, text classification, audio transcription, video labeling, semantic segmentation, bounding box annotation, named entity recognition, sentiment analysis, optical character recognition, entity linking, syntactic parsing, and LLM response evaluation. Tasks cover both structured and unstructured data across 40+ languages.
What is the hiring process like at Innodata?
The hiring process typically includes submitting an application, completing a General English proficiency test and a Versant assessment (evaluating spoken and written English), followed by interviews assessing educational background, professional experience, and domain expertise. Some roles include practical assessments or annotation trials. The process evaluates both qualifications and cultural fit.
Is Innodata a publicly traded company?
Yes, Innodata is publicly traded on the NASDAQ stock exchange under the ticker symbol INOD. Founded in 1988, the company has a long track record in data services and has expanded significantly into AI data engineering. Being publicly traded means greater transparency through regular SEC filings and financial disclosures.
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