AI Training Assistant - opn2me - New York

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid This position requires an in-person interview in New York City, NY. DIRECTV is seeking a Principal, System Engineer 2 to design, build, and operationalize sophisticated agentic AI systems across our Advertising Technology ecosystem. This is a senior individual contributor assignment for a hands-on systems engineer who can move between architecture, production code, platform services, and direct engagement with business users. The ideal candidate brings broad experience across AI, distributed systems, backend engineering, data, product delivery, and enterprise integration. This person will provide end-to-end technical ownership for secure multi-agent systems and collaborative AI work environments where business users and agents can plan, reason, use tools, share context, and complete complex advertising and media workflows. Here's what you'll do: Multi-Agent System Architecture & Development • Design and build production multi-agent systems, including planners, coordinators, specialist agents, reviewers, human approval points, shared state, memory, and recovery paths., • Define orchestration patterns for agent delegation, task decomposition, consensus, tool selection, and deterministic workflow control., • Write production code and reference implementations, not just architecture diagrams, prototypes, or prompt specifications., • Evaluate model, framework, and runtime tradeoffs while keeping solutions modular and avoiding unnecessary vendor lock-in. Collaborative AI Work Environments • Build collaborative workspaces where business users and multiple agents can jointly investigate, plan, create, review, and execute work., • Design shared-context patterns such as workspaces, case files, task state, artifacts, approvals, audit history, and role-aware memory., • Create experiences that make agent evidence, tool activity, decisions, and handoffs understandable to business users., • Enable reusable skills and workflows across campaign planning, operations, analytics, incident response, and engineering use cases. Backend Services, Tools & Enterprise Integration • Design and develop backend services, APIs, event-driven workflows, tool registries, and integration services that connect agents to enterprise capabilities., • Build governed tool interfaces using MCP-style patterns, strong schemas, identity propagation, authorization, validation, rate limits, and auditability., • Integrate agent systems with advertising platforms, data services, Snowflake, operational systems, content repositories, and third-party APIs., • Apply distributed-systems practices for reliability, idempotency, retries, timeouts, fallbacks, concurrency, and state management. Context Engineering for Business Users • Design context strategies combining user intent, role, workflow state, enterprise knowledge, structured data, tool outputs, conversation history, and policy constraints., • Build retrieval and context pipelines that deliver the right information to the right agent at the right step while controlling noise, latency, cost, and sensitive data exposure., • Develop reusable instruction, skill, memory, and context templates for specific business personas and workflows., • Partner directly with business users to understand work, encode domain knowledge, and improve agent behavior through feedback and evaluation. Production Readiness, Evaluation & Governance • Establish evaluation strategies for task success, groundedness, tool correctness, trajectory quality, safety, latency, reliability, and cost., • Implement observability across agent steps, model calls, context assembly, tool activity, decisions, and business outcomes., • Design guardrails for unsafe actions, prompt injection, data leakage, runaway loops, failed tools, and low-confidence decisions., • Drive production readiness through automated testing, CI/CD, release controls, incident response, runbooks, and continuous improvement. Technical Leadership & Forward Deployment • Work directly with Product, Ad Sales, Operations, Data, and Engineering teams to turn ambiguous problems into deployable agentic solutions., • Lead architecture and code reviews, mentor engineers, establish reusable standards, and manage cross-system dependencies and risks., • Balance rapid experimentation with maintainability, security, governance, and measurable business value. Here's what you'll need: Experience & Education • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 5 – 7 years of progressive software, systems, platform, or architecture experience, including hands-on ownership of production services., • Proven experience building and deploying agentic AI or GenAI systems beyond proofs of concept., • Demonstrated experience leading solutions from discovery through production and making end-to-end technical decisions. Technical Skills • Strong coding experience in Python and proficiency in at least one additional modern language such as TypeScript, Java, Go, or C#., • Deep knowledge of LLM applications, multi-agent orchestration, tool use, structured outputs, memory, RAG, context engineering, evaluation, and human-in-the-loop controls., • Strong background in backend engineering, API design, microservices, distributed systems, event-driven architecture, and cloud-native deployment., • Hands-on experience with frameworks and platforms such as LangGraph, Semantic Kernel, Strands, Bedrock AgentCore, Snowflake Cortex, or comparable technologies., • Experience implementing secure enterprise integrations, identity and authorization, observability, automated testing, and CI/CD. Leadership & Communication • Ability to explain complex system and agent architectures, integration decisions, risks, and tradeoffs to technical and non-technical audiences., • Proven ability to lead through influence, write and review production code, mentor engineers, and drive decisions across teams., • Product mindset with judgment to simplify designs and focus teams on measurable business outcomes. Preferred Qualifications • Hands-on experience in advertising, media, AdTech, MarTech, campaign management, ad operations, programmatic advertising, measurement, or monetization., • Experience building cowork, collaborative agent, case-management, investigation, or human-agent work environments., • Experience across application engineering, platform engineering, data engineering, ML engineering, product development, SRE, or solution architecture., • Experience with AWS, Kubernetes, serverless services, Snowflake, vector or graph stores, and enterprise data platforms., • Open-source contributions, technical publications, patents, or demonstrated thought leadership in agentic systems. May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law. This role requires, but is not limited to, approximately 10% travel. This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid A career with us comes with big rewards: DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location. The Base Salary range displayed below reflects the minimum and maximum target salary for the position and work location(s) listed in the job posting US Labor Market Zone(s). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. DIRECTV WAGE ZONE N4: $178,952 - $268,307 Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package. Apply today

This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid This position requires an in-person interview in New York City, NY. DIRECTV is seeking a System Engineer 2 with strong full stack software development and applied AI experience to build and deploy AI-powered products across our Advertising Technology ecosystem. This is a hands-on coding role with end-to-end responsibility for frontend experiences, backend services, APIs, AI integrations, data access, cloud deployment, and production support. The ideal candidate is product-minded and forward deployed. This person works directly with business users, turns ambiguous needs into working software, prototypes quickly, and then hardens successful concepts into secure, reliable, maintainable applications that deliver measurable business outcomes. This is a software development position, not an infrastructure administration, data science, or machine-learning model development role. Here's what you'll do: Full Stack AI Product Development • Design, code, test, deploy, and operate complete AI-enabled applications, including responsive user experiences, backend services, APIs, data access, and AI orchestration., • Build intuitive conversational and workflow-based interfaces that help business users understand, refine, and act on AI-generated insights., • Set up, configure, and extend AI cowork environments that allow business users to collaborate with AI agents, enterprise knowledge, approved tools, and shared workflow context., • Own features end to end and produce maintainable, well-tested code suitable for enterprise production environments., • Apply sound software design, accessibility, performance, security, and usability practices across the application stack. Applied AI Engineering • Build applications using LLMs, RAG, structured generation, tool calling, agents, semantic search, summarization, classification, and intelligent workflow automation., • Design prompts, context assembly, model routing, validation, guardrails, fallbacks, and human review for reliable business use., • Create evaluation datasets and automated tests for accuracy, groundedness, user value, safety, regression, latency, and cost., • Select the simplest effective approach, including deterministic software or traditional analytics when an LLM is not appropriate. Forward-Deployed Delivery • Partner directly with Ad Sales, Operations, Product, Data, and Engineering teams to observe workflows and identify high-value opportunities., • Translate incomplete requirements into prototypes, test them with users, and iterate rapidly based on evidence and feedback., • Connect technical choices to outcomes such as productivity, decision speed, quality, revenue protection, or reduced operational effort., • Support onboarding, adoption, documentation, training, and continuous improvement after launch. Backend, Data & Enterprise Integration • Develop scalable backend services using modern API, microservice, asynchronous processing, and event-driven patterns., • Integrate applications with enterprise APIs, advertising platforms, Snowflake and other data stores, identity providers, content systems, and workflow tools., • Build secure tool interfaces with clear contracts, authorization, validation, observability, and error handling., • Implement caching, state management, retrieval, and data access patterns that improve quality, performance, and cost. Production Engineering & Quality • Implement CI/CD, infrastructure as code, automated testing, feature controls, monitoring, logging, tracing, alerting, and runbooks., • Diagnose issues across browsers, frontend applications, APIs, models, retrieval, data, cloud services, and external integrations., • Apply security, privacy, responsible AI, and data-governance requirements throughout design and delivery., • Contribute reusable components, development standards, and engineering accelerators. Here's what you'll need: Experience & Education • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 5+ years of professional software engineering experience with substantial hands-on full stack development across frontend and backend systems., • Proven experience delivering customer-facing or internal enterprise applications from concept through production operation., • Practical experience integrating foundation models, agents, retrieval services, and intelligent automation into production software beyond isolated demos or notebooks. Frontend Engineering • Strong experience with TypeScript or JavaScript and a modern UI framework such as React or Next.js., • Experience building accessible, responsive applications with clear state management, component design, testing, and API integration., • Ability to create polished business workflows, not only chat interfaces. Backend & Cloud Engineering • Strong proficiency in Python and frameworks such as FastAPI; experience with Node.js, Java, Go, or C# is also valuable., • Experience designing REST or GraphQL APIs, service integrations, relational and NoSQL data stores, asynchronous processing, and distributed applications., • Hands-on experience with cloud services, containers or serverless deployment, authentication and authorization, CI/CD, testing, and observability. Applied AI Skills • Experience with foundation-model APIs or managed AI platforms and frameworks such as Bedrock, OpenAI, Anthropic, Snowflake Cortex, LangGraph, Semantic Kernel, or comparable technologies., • Working knowledge of RAG, embeddings, vector search, tool calling, agents, context engineering, structured output, prompt management, evaluation, and guardrails., • Proficiency both using and setting up AI cowork environments for business users, including workspace configuration, role-based access, agent and tool integration, shared context, reusable workflows, and user onboarding., • Ability to troubleshoot quality issues across prompts, context, tools, data, models, latency, and application behavior. Collaboration & Communication • Ability to work directly with business users, demonstrate frequently, receive feedback constructively, and turn learning into better software., • Strong written and verbal communication with the ability to explain decisions and tradeoffs clearly., • High ownership, practical judgment, curiosity, and a bias toward delivering usable outcomes. Preferred Qualifications • Experience in advertising, media, AdTech, MarTech, campaign operations, analytics, or other data-intensive business environments., • Experience building workflow, analytics, decision-support, conversational BI, or operational automation products., • Experience with AWS, Snowflake, Kubernetes, vector databases, feature flags, experimentation frameworks, and enterprise design systems., • Experience contributing to shared platforms, component libraries, developer tooling, or reusable AI application patterns., • Portfolio or concrete examples demonstrating ownership of frontend and backend production code. Experience limited primarily to prompt engineering, model experimentation, notebooks, analytics, or ML pipeline development does not meet the requirements of this role. May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law. This role requires, but is not limited to, approximately 10% travel. This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid A career with us comes with big rewards: DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location. The Base Salary range displayed below reflects the minimum and maximum target salary for the position and work location(s) listed in the job posting US Labor Market Zone(s). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. DIRECTV WAGE ZONE N4: $134,516 - $201,653 Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package. Apply today!

Job Description CyberArk Specialist Location: Hybrid New York, NY Rate: DOE Experience: 13 years Requirement: Cog Kit; BGV must be cleared before starting. Key Responsibilities • Provide L2/L3 support for CyberArk Vault, CPM, PSM, PVWA, AIM, and CCP., • Troubleshoot password rotation, account onboarding, access, and session issues., • Administer, configure, install, and upgrade CyberArk Client, Alero, and EPM., • Onboard Windows, UNIX, database, and application/service accounts., • Manage safes, access permissions, security policies, and privileged account entitlements., • Automate workflows and bulk operations using PowerShell and Python., • Integrate CyberArk with Active Directory/LDAP, SIEM, ServiceNow, and applications using CyberArk APIs., • Conduct platform health checks, audits, security reporting, and compliance reviews., • Recommend improvements to PAM operations, secrets management, and security controls., • Collaborate with infrastructure, security, and application teams on implementations and integrations. Required Skills • CyberArk Operations & L2/L3 Support., • CyberArk Administration, Configuration & Engineering., • PowerShell/Python Scripting and Automation.

Job Description SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We serve our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and maintain a safe digital marketplace. The Safety Integrity Program Manager, Harmful Activity will drive priorities, measures, and system health for harmful activity, owning program standards and execution across upstream systems and downstream operations. You are an experienced program manager with a strong background in content integrity, abuse, or risk programs at scale. You are skilled at setting requirements for detection and automation, translating policy and legal constraints into practical workflows and controls, and driving cross-functional partners to improve coverage, precision, and enforcement quality. You thrive in fast-paced environments and excel at turning operational signals into lasting improvements. RESPONSIBILITIES: • Drive priorities, measures, and system health for harmful activity, and continuously improve execution, • Set requirements and success criteria for detection and automation, and drive Product, Engineering, and Operations to improve coverage, precision, and enforcement quality at scale., • Translate legal, policy, and technical constraints into practical requirements, workflows, controls, and escalation paths for Product, Engineering, and Operations., • Identify gaps in the current framework and drive enhancements to policies, procedures, controls, and workflows., • Own escalations, quality assurance, and complex case patterns for residual volume, and use those signals to harden standards and automation over time., • Align and drive Product, Engineering, Policy, Legal, and Operations partners to resolve dependencies, make decisions, and move critical work forward with clear accountable ownership., • Build and maintain the documentation, guidance, and operating standards that embed consistent execution across the program., • Monitor relevant regulatory developments, assess impact on the program, and ensure requirements stay accurate and executable., • Track and report operational performance, risks, and improvement opportunities with clear recommendations for leadership.BASIC QUALIFICATIONS:, • 5+ years in content integrity, safety operations, abuse operations, or related program roles supporting enforcement or risk programs at scale., • Experience owning or supporting program priorities, measures, and operational health for content or risk domains., • Working knowledge of harmful activity domains and how policy, legal, and technical constraints shape response., • Experience translating policy or legal requirements into practical workflows, controls, and escalation paths., • Experience working with automated or model-driven enforcement systems, including detection, classifiers, or policy automation., • Proven ability to drive cross-functional work with Product, Engineering, Policy, Legal, and Operations partners., • Strong analytical skills with experience using operational data to identify gaps, prioritize interventions, and track outcomes., • Clear written and verbal communication; able to brief leadership and document standards, decisions, and recommendations.PREFERRED SKILLS AND EXPERIENCE:, • Direct experience with harmful activity, integrity, or abuse programs at scale., • Experience setting requirements for detection, classifiers, or automation and partnering with Product or Engineering teams on outcomes., • Experience owning escalations, quality assurance, or residual case handling for enforcement programs., • Experience converting operational signals into product, process, or policy changes., • Exposure to integrity risks involving synthetic content, model misuse, or scaled manipulation., • Experience improving operating standards, documentation, and controls in a live program environment., • Background in high-scale consumer platforms, marketplaces, or technology products.COMPENSATION AND BENEFITS: $110,000 - $145,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.