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AI Annotator

Innodata

Text & Document Annotation Contractor · Part-time
United States $9/hr April 29, 2026

Job description

About the Role

We are seeking AI Annotators to support AI model training through content labeling, evaluation, and data generation.

In this role, you will work on a range of tasks including annotating text, evaluating AI outputs, and generating training data to improve the performance of language models.

Key Responsibilities

  • Label and categorize content based on guidelines
  • Evaluate AI-generated outputs for quality and relevance
  • Rank and compare responses based on defined criteria
  • Rewrite, summarize, and transform content
  • Create prompts and generate responses for AI systems
  • Contribute to dataset creation and augmentation

Requirements

  • High school diploma or higher
  • Advanced English proficiency (C1/C2)
  • Strong attention to detail and analytical thinking
  • Ability to follow structured guidelines
  • Strong written communication skills

Work Details

  • Work Type: Fully remote
  • Engagement: Freelance / project-based
  • Schedule: Flexible

Compensation

  • $9/hour depending on project
  • Task-based payments

About the Opportunity

This role offers an opportunity to contribute to the development of AI systems through annotation, evaluation, and data generation tasks.

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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