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Generative AI Associate (English)

Innodata

AI Domain Experts Part-time
United States $12 – $15/hr March 25, 2026

Job description

About the Role

Innodata is recruiting Generative AI Associates (English) to support the training and evaluation of large language models (LLMs).

This is a flexible, part-time remote opportunity where you’ll work on a variety of AI tasks including evaluation, annotation, prompt creation, and response generation.

What You’ll Do

You may work across multiple task types, including:

  • Evaluation: Assess AI outputs for accuracy, quality, and relevance
  • Annotation & Labeling: Tag and categorize content using guidelines
  • Preference Ranking: Rank responses based on quality criteria
  • Prompt Generation: Create prompts to test AI systems
  • Response Writing & Rewriting: Generate or refine AI outputs
  • Summarization: Produce concise summaries of longer content
  • Classification: Assign labels or categories to data
  • Data Augmentation: Create variations of data to improve model training
  • Transcription / Translation (if applicable)

Requirements

  • Bachelor’s degree or higher (Master’s/PhD preferred)
  • Advanced English proficiency (C1/C2)
  • Strong:
    • Writing and editing skills
    • Logical reasoning and critical thinking
  • Ability to follow detailed instructions and guidelines
  • Attention to detail and consistency in output quality

Compensation

  • $12–$15/hour
  • Rates may vary based on skills, experience, and location

Role Details

  • Remote (U.S.-based candidates only)
  • Part-time (up to ~28 hours/week)
  • Flexible schedule
  • Pipeline role (future projects — not immediate start)

Why Join Innodata

  • Work on cutting-edge generative AI systems
  • Flexible, project-based work structure
  • Exposure to a wide range of AI tasks and workflows
  • Opportunity to contribute to LLM development used globally

About Innodata

Innodata is a global data engineering and AI solutions company serving major technology, finance, and enterprise clients. The company supports the development of advanced AI systems through large-scale data operations and expert-driven workflows.

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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