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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Program Manager - **Company:** Cyborg Mobile - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Machine Learning, Power BI, Microsoft SharePoint, GitHub Copilot, Large Language Models, Model Validation, Data Strategy - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3eb334a6aebbd60d ## About the Role * 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 Must Haves * Customer centric * Good with follow through * Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot ## Description 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 position (W2 or 1099 is fine). 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). What You'll Do * 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 ## Related Videos - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Big Business, Big Barriers? 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