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Applied AI Engineer

Label Your Data·Salary not specified

Primary stack

Machine LearningPythonAITypeScriptJavaScript

Job description

About the Position

Applied AI Engineer

OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.

Responsibilities

As an Applied AI Engineer, you will:

  • Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
  • Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
  • Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
  • Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
  • Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
  • Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
  • Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
  • Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.

Requirements

  • Demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
  • Proficiency in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
  • Understanding of evaluating AI systems systematically using representative data, graders, production signals, and human judgment.
  • Experience navigating enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
  • Strong communication skills across hands-on engineers, technical leaders, security teams, product leaders, and executives.
  • High agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
  • Ability to learn quickly, challenge assumptions constructively, and collaborate with humility.

We Offer

  • Competitive salary
  • Relocation assistance for new employees
  • Opportunity to work on consequential real-world deployments at the frontier of AI
  • Influence on how OpenAI’s products evolve

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Join us in shaping the future of technology.

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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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