Innodata

Global data engineering company founded in 1988, providing AI training data, annotation, and evaluation services with 4,000+ experts across 40+ languages.

AI Training AI Data Engineering
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Ridgefield Park, USA HQ
5,000 employees
1988 founded

What is Innodata?

Innodata is a global data engineering company founded in 1988, headquartered in Ridgefield Park, New Jersey. The company helps leading technology companies and enterprises integrate AI by providing essential data, evaluation frameworks, and human expertise. With over 4,000 in-house subject matter experts, Innodata delivers data collection, annotation, and labeling services across 40+ languages and multiple data types — including text, images, audio, video, and complex documents. Services span computer vision, sentiment analysis, entity linking, text categorization, syntactic parsing, named entity recognition, and LLM training data creation. The company maintains offices across Europe, Israel, India, the Philippines, Sri Lanka, and China. Innodata also offers proprietary AI-enabled industry platforms, a web-based Annotation Platform with customizable workbenches and flexible taxonomies, and managed services for digital transformation. Both remote and on-site roles are available across various skill levels and disciplines.

Mission & values

Help the world's leading technology companies and enterprises drive Generative AI / AI innovation through AI-enabled software platforms and managed data-engineering services.

Qualifications

For Data Annotator/AI Trainer roles: strong English communication, excellent attention to detail, ability to follow complex annotation guidelines uniformly, comfort with diverse or sensitive content, and basic technical literacy for annotation tools. A Bachelor's degree is preferred (required for some roles), and familiarity with AI/ML concepts is a plus. Experience with annotation tools like Labelbox, CVAT, Prodigy, or SageMaker Ground Truth is valued. Candidates must pass a General English test and Versant spoken/written English assessment. For Generative AI Associate roles: Bachelor's or higher (Master's/PhD preferred), C1/C2 English proficiency. For AI/ML Engineering roles: Bachelor's/Master's/PhD in CS, ML, or related field, 2–5+ years experience, Python proficiency, and hands-on experience with PyTorch/JAX/TensorFlow and LLM fine-tuning workflows.

Leadership

J

Jack Abuhoff

Co-Founder, President & CEO

Co-founded Innodata in 1988 and became President & CEO on September 15, 1997; has served as a director since the company's founding.

Hiring process

  1. 1

    Apply on innodata.com/careers

    Submit your application for the role and region you're targeting.

    About 1 day

  2. 2

    Recruiter screen

    Initial conversation about background, role fit, and logistics.

    About 5 days

  3. 3

    Technical / domain assessment

    For specialist or annotation roles, complete relevant domain-skill assessments.

    About 5 days

  4. 4

    Hiring manager and team interviews

    Discussion with the team and stakeholders.

    About 7 days

  5. 5

    Offer

    Compensation discussion and written offer.

    About 3 days

Funding

StagePublic

Awards & recognition

  • NASDAQ-listed (ticker: INOD)

    NASDAQ

  • ~596% one-year total return on AI demand surge

    Public market performance

Company information

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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