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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 an AI technology solutions provider-of-choice for 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 AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
At Innodata Inc., we believe that the future of artificial intelligence is built on high-quality, meticulously curated data. As global demand for cutting-edge AI models continues to soar, we are looking for passionate, detail-oriented minds to join our expanding global AI and Machine Learning talent network.
If you thrive on working with data, possess sharp analytical skills, and want to play a direct role in driving real-world AI innovation, this is your chance to make an impact.
Why Join the Innodata AI Network
Help shape the future of AI.
We're looking for detail-oriented AI Data Evaluators to support AI training and evaluation projects. The role involves reviewing, annotating, and assessing data to improve AI model quality, accuracy, and relevance.
What You'll Do
What We're Looking For
Selection Process
Candidates will complete 2 assessments:
Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.
Job ID: 153915501
Skills:
React, Javascript, Web Scraping, Data Visualization, Python, Prompt engineering, Bright Data, LLM deployment, Playwright, Recharts, Apify, Gemini API, AI workflow automation, Looker Studio, Make n8n
Skills:
snowflake , Machine Learning, Sql, Tensorflow, Numpy, Nltk, Nlp, Pandas, MLops, Pytorch, Gcp, Azure, Python, AWS, Airflow, HuggingFace, Scikit-learn, Ai, dbt, SpaCy
Skills:
Bi Tools, Sql, AI in production settings, compliance data privacy, ticketing workflow platforms, vector databases, advanced observability, SLO SLA design, feature flags, knowledge base authoring, problem-solving skills, incident response practices, retrieval RAG, experiment tracking, ML operations tooling, workflow orchestration, distributed tracing, scripting automation, Root Cause Analysis, prompt engineering, version control Git, content ingestion pipelines, canary rollback strategies, Markdown-based runbooks, AI literacy, fine-tuning pipelines, Effective Communication
Skills:
Git, Bi Tools, Sql, agentic systems, compliance data privacy, workflow orchestration, Markdown-based runbooks, AI literacy, knowledge base authoring, scripting automation, prompt engineering
Skills:
Natural Language Processing, Cloud deployment, Agile, Prototyping, Deployment, Resource Allocation, ML projects, end-to-end development lifecycle, performance optimization, maintenance of AI ML systems, code quality, AI solutions