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INAt Innodata, we're passionate about bridging the gap between data and innovative technology.
Employee count: 5000+
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
We’re looking for curious, hands-on interns who want to build real-world GenAI systems — from prototyping LLM pipelines to scaling APIs and data infrastructure. You’ll work across engineering, research, and product teams to turn cutting-edge AI into production-ready solutions.
Prototype LLM + retrieval pipelines with safety and filtering.
Operate knowledge graph/ vector DBs (Pinecone, Weaviate) and manage embeddings.
Build FastAPI services for search, recsys, and memory.
Design resilient systems with caching, retries, observability.
Run data pipelines for large-scale indexing and embeddings.
Capture personalization signals (search, chat, purchase).
Optimize for low-latency APIs & high-throughput pipelines.
Collaborate with research and product on evaluation and UX.
Strong Python (FastAPI, async/await, Redis, PostgreSQL).
1-3 years of hands-on experience with LLM prompting, RAG, embeddings, vector search.
Comfort with APIs, distributed systems, caching, observability.
Familiarity with GCP/AWS/Azure or similar cloud services, Docker, Git, CI/CD.
Clear communicator, self-driven, team player.
TypeScript/Node.js (NestJS), React/Next.js., familiarity with FAST API, Streamlit and similar frameworks
Excellent communication, presentation, and collaboration skills
Strong time management and organizational abilities
Self-starter attitude with a customer-centric mindset
Ability to work in a multicultural and fast-paced environment
Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field.
We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate.
In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
Full Time
Canada +/- 0 hoursLearn more about Innodata and their company culture.
At Innodata, we're passionate about bridging the gap between data and innovative technology. With over 35 years of experience in the industry, we assist some of the world’s leading tech companies and enterprises in driving advancements in Generative AI and traditional AI. Our journey began in 1988, and over the years, we've established ourselves as a trusted partner, providing cutting-edge solutions that encompass data engineering, advanced data solutions, and insights for market leaders across a multitude of sectors, including healthcare, finance, and media.
Our commitment extends beyond merely providing services; we genuinely aim to foster innovation and transformation within organizations. Our comprehensive offerings range from sophisticated data annotation to enterprise AI solutions and workflow automation. We understand that every project is unique, which is why we also provide customizable platforms tailored to specific business needs. With a global presence and a dedicated team of over 5,000 experts, we deliver high-quality results around the clock, helping our clients to efficiently navigate their digital transformations and optimize their AI initiatives.
IN5000+ employees
1988
Jack S. Abuhoff
KECanada onlyEmployee count: 51-200
Salary: 65k-80k USD
Explore the variety of open remote roles at Innodata, offering flexible work options across multiple disciplines and skill levels.
IN
United States onlyEmployee count: 5000+
INUnited States onlyEmployee count: 5000+
INCA, DE + 6 moreEmployee count: 5000+
Salary: 60k-60k USD
INCA and FR onlyEmployee count: 5000+
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