Innodata Inc.

Data Scientist

• Create and own processes for creating, validating and annotating data for use in LLM/ML applications
• Consult and engage with customers to understand their business goals
• Generate insights about the client’s processes and products to drive improvement and innovation
• Advise and support business unit heads on engaging with customers

Language Data Scientist

Growth Marketing

• Own and grow assigned enterprise accounts with clear revenue and margin targets
• Ensure successful delivery outcomes and high customer satisfaction
• Identify expansion opportunities aligned to client business priorities
• Drive structured account planning, pipeline development, and forecasting
• Partner with delivery leadership to ensure performance, quality, and retention
• Improve Net Revenue Retention (NRR) and long-term account value

Account Growth Lead – Delivery, Sales

• Lead long-term projects with high complexity and ambiguity
• Design/improve workflows for AI/ML training and evaluation
• Design and refine search data annotation frameworks
• Gather data and insights, make recommendations, and drive improvement
• Assess and optimize search-specific evaluation approaches
• Analyze large datasets and make recommendations to improve accuracy and performance
• Collaborate closely with client stakeholders to understand goals and gather requirements

Senior Language Data Scientist – Search Specialization

• You can lead long-term projects with high complexity and ambiguity from first discussion with the client to completion
• Design/improve workflows to create data for AI/ML training and evaluation. Includes human annotation and data-collection workflows, as well as synthetic ones
• Dive deep into existing workflows and processes to gather data and insights, make recommendations, and drive improvement through innovation and cross-functional collaboration with customers
• Critically assess annotation tooling and workflows
• Quantitatively analyze large datasets, perform statistical analysis, calculate metrics, and make recommendations to improve accuracy and performance
• Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions, and executing them.
• Set an ambitious research agenda for improving our products and services
• Contribute to establishing best practices and standards for generative AI development with customers and within the organization

Senior Language Data Scientist

Data Entry

• As a Data Annotator on our AI Large Language Models (LLMs) team, you will join a truly global team of subject-matter experts across a wide variety of disciplines and be entrusted with a range of responsibilities.
• Strong critical thinking and written skills to be able to understand challenging guidelines and articulate their understanding
• Associate data providers or mark them as irrelevant based on agreed upon requirements.
• Mine metadata to support requirements for display, search and filtering
• Hit productivity targets, including for the number of prompts written and the average handling time per prompt

Data Annotator

Solutions Engineer

• Design Physical AI problem formulations that map real‑world robotic behavior into concrete data and evaluation requirements for training policies, world models, and perception systems.
• Prototype perception, world‑model, and action‑representation pipelines (e.g., VLMs, VLAs, world models) to understand what data is needed, why it matters, and how quality will be measured.
• Use simulation and synthetic environments (digital twins, Isaac/Omniverse‑style tools) to generate, stress‑test, and scale datasets for robotics and humanoid systems, grounded in real sensors, tasks, and constraints.
• Work directly with customers’ robotics and ML teams to define data specifications, collection strategies (egocentric capture, teacher‑follower demonstrations, imitation learning), and evaluation benchmarks that tie to model performance and business outcomes.
• Lead technical discovery and pre‑sales pilots: scope projects, design experiments, and secure the “technical win” by demonstrating uplift from our data, annotations, and pipelines.
• Collaborate with internal data‑collection and platform teams to design robust data pipelines, annotation workflows (including affordances and advanced CV labels), and QA processes that generalize across customers.
• Develop reusable playbooks, reference architectures, and demos for common Physical‑AI use cases (manipulation, mobile navigation, teleoperation, human‑robot interaction) to accelerate future engagements.
• Influence the product and tooling roadmap by bringing structured feedback from frontier robotics customers, and help shape a scalable “Robotics & Physical AI data platform.”
• Represent the company at key industry events and workshops, evangelizing best practices for robotics data, simulation, and evaluation and helping build a broader data and partner ecosystem.

Language Data Scientist

Account Growth Lead – Delivery, Sales

Senior Language Data Scientist – Search Specialization

Senior Language Data Scientist

Data Annotator

Robotics & Physical AI Solutions Architect