Top Artificial Intelligence Jobs in Oklahoma City, OK

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Own strategic account development and enterprise sales across mining and industrial markets. Build pipelines, map complex organizations, develop executive relationships, lead long-cycle multi-stakeholder deals, represent Realm at conferences and site visits, and provide customer insights to influence product, pricing, and positioning. The role requires selling bespoke technology solutions to large industrial enterprises and supporting pilots that can expand into multi-site, multi-year agreements.

Full-cycle enterprise seller responsible for closing $250K–$1M+ deals in regulated markets. Run consultative discovery, solution scoping, executive negotiations, ROI-driven business cases, CRM discipline (HubSpot), playbook development, and represent the company at industry events.

Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.

Build and operate WISEcode’s food data lakehouse using Python, SQL, DuckLake, S3 Parquet, Postgres, and Prefect. Responsibilities include source ingestion, entity resolution, pipeline consolidation, data enrichment, downstream connectors, data quality reporting, configuration discipline, and architectural documentation. The role requires designing and shipping production lakehouse or warehouse systems, managing scalable API-driven pipelines, and collaborating closely with engineers in a fully remote environment.

Own Replicant’s revenue operations engine, including forecasting, pipeline management, incentive plans, pricing and packaging, quota and capacity planning, GTM systems architecture, and AI-assisted reporting. Partner with Sales and Finance leadership, consolidate data across CRM and GTM tools, improve decision-making, and grow the RevOps team from one analyst into a scalable function.

Drives revenue growth across strategic Factory Automation accounts by developing account strategies, managing pipelines and forecasts, building relationships with engineering and purchasing stakeholders, providing consultative product support, presenting solutions, identifying customer opportunities, and sharing market insights. Collaborates with product, engineering, and sales leadership to increase product adoption, solve application challenges, expand market share, and achieve account performance targets.

Build and lead Doxel’s People function, including talent systems, performance management, career pathing, manager development, HRIS ownership, employee relations, benefits, immigration support, and learning and development. Partner directly with the CEO and Finance to establish scalable, fair, AI-forward people processes for a growing international SaaS company.

Owns nationwide payroll operations, including multi-state tax compliance, wage and hour compliance, payroll controls, vendor governance, systems configuration, reporting, reconciliations, audits, and final payroll approval. Leads the payroll team, manages ADP and related integrations, oversees regulatory filings and notices, and drives automation, process improvement, and internal control effectiveness for a large hourly workforce.

Own product development coordination, roadmap execution, delivery timelines, client discovery, demos, and stakeholder management. Partner with engineering, sales, operations, and client success teams to translate customer needs into product requirements and solutioning. Coordinate messaging across product lines, support deal lifecycles, and create customer-facing presentations, proposals, and solution materials using AI tools.