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Innodata

Data annotation (text, images, audio, video, sensor data), AI solutions, workflow automation

Quick facts

Company
Innodata
Service type
Data annotation / AI training data
Specialties
Software Eng. (code / dev tasks), Legal, Healthcare, Finance
Hiring status
Both: hires workers and takes vendor projects
Website
innodata.com
Careers
https://careers.innodata.com/
Profile last verified
2026-01-29

Application process overview

Innodata (NASDAQ: INOD) is a publicly traded data engineering company that supplies annotated training data, generative-AI fine-tuning datasets, and digital transformation services to four of the top five global tech companies plus enterprise clients in finance, insurance, law, and medicine. It hires annotators directly as employees or contractors across multiple global delivery centers and has a sizeable remote pipeline.

Key findings

Application Process: Apply through careers.innodata.com or third-party boards (Indeed, LinkedIn, Remotive). Role-specific applications with resume review; some roles require written tests and interviews.<br><br>Assessments: Skill screens, language proficiency tests, and role-specific sample tasks; for SME roles expect subject-matter vetting (e.g. coding, legal, medical).<br><br>Job Types / Expertise: Data annotators, web extraction specialists, content moderators, linguists, SMEs for LLM training, prompt writers, evaluators. Entry-level through specialist tiers.<br><br>Compensation: Varies widely by geography. US remote annotator postings have appeared around $11/hr; India around ~Rs 350/hr; specialist roles pay considerably more.<br><br>Flexibility: Mix of fully remote, hybrid, and onsite depending on project and country; some roles are shift-based.<br><br>Challenges / Concerns: Entry-level pay is modest, especially in the US; project-based contract roles can end without much notice, typical of the industry.<br><br>Legitimacy: Highly legitimate - SEC-reporting public company with decades of operating history and blue-chip clients.

Conclusion

Innodata is one of the most established players in the annotation and AI data space and a credible employer option for annotators in the US, India, the Philippines, Sri Lanka, and several other markets. The trade-off is that entry-level pay is on the lower end, and contract roles carry standard industry risks around project rotation. Specialist roles tied to LLM training can pay meaningfully better. Being public and audited gives workers more transparency than most competitors. It is a solid mainstream option for those seeking a company rather than a gig platform.