Data & AI Program Manager

We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.

This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred).

• Conduct market and user research to understand data needs and expectations across various NLP applications and domains
• Define data specifications, scope, and sourcing strategy for each use case and domain
• Design judgment guidelines and instructions for data annotation, validation, and quality control
• Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
• Manage the end-to-end data annotation process
• Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
• Implement approved data quality improvement actions
• Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
• Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
• Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
• Prepare and deliver data reports, presentations, and demos using client-approved formats and channels

• Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
• Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
• Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
• Analytical mindset with the ability to translate quality metrics into concrete improvement plans
• Excellent stakeholder communication skills — comfortable presenting to both technical and non-technical audiences
• Experience working in large, matrixed corporate environments

• Customer centric
• Good with follow through
• Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot

Originally posted on Himalayas