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From Home Openai Jobs (NOW HIRING)

Hybrid 4 onsite / 1 work from home in Greenwood Village, CO Data driven decision-making is a core ... Experience with Azure OpenAI cognitive services or Google Cloud Platform is desirable. Due to ...

Principal Platform Engineer

Chicago, IL · On-site

$119K - $204K/yr

Drive innovation in cloud, data, and AI platforms (Fabric, OpenAI/Foundry, etc.). * Lead large ... Work from home up to 3 days a week * Paid parental leave * Employee discount programs * Time off ...

Hybrid 4 onsite / 1 work from home in Greenwood Village, CO Data driven decision-making is a core ... Experience with Azure OpenAI cognitive services or GCP is desirable. Due to client requirements ...

Principal Software Engineer

Southlake, TX · On-site +1

$127K - $170K/yr

... using Azure OpenAI, LangChain, and Python. Experience therein to include 1 year of experience in NATS. Hybrid role, ability to work from home. CONTACT: To apply, email resume to anna.zhang ...

Software Engineer

$135K - $170K/yr

Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex ... Medical/dental/vision coverage * Work from anywhere in the US! * Remesh Equity * 401k Retirement ...

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Associates or contractors who live and work from home in the state of California will be provided ...

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Associates or contractors who live and work from home in the state of California will be provided ...

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Associates or contractors who live and work from home in the state of California will be provided ...

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From Home Openai information

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How much do from home openai jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for from home openai in the United States is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.33 per hour, depending on experience, location, and employer.

What is the difference between From Home Openai vs From Home Data Analyst?

AspectFrom Home OpenaiFrom Home Data Analyst
Required CredentialsKnowledge of AI tools, programming skills, familiarity with OpenAI APIsDegree in Data Science, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, tech-focused, collaborative with AI teamsRemote, analytical, often involves data reporting and insights
Industry UsageAI technology, software development, researchBusiness intelligence, finance, marketing, healthcare
Search & Comparison IntentUnderstanding AI-related remote rolesComparing remote data roles in different industries

From Home Openai roles focus on AI development, programming, and working with OpenAI tools remotely. From Home Data Analyst positions emphasize analyzing data, generating reports, and deriving insights across various industries. Both are remote but differ in skill sets, tools, and industry applications.

What cities are hiring for From Home Openai jobs? Cities with the most From Home Openai job openings:
What are the most commonly searched types of Openai jobs? The most popular types of Openai jobs are:
What states have the most From Home Openai jobs? States with the most job openings for From Home Openai jobs include:
Infographic showing various From Home Openai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $53,274 per year, or $25.6 per hour.

Key Account Manager-Data Center Liquid Cooling System for Google/Nvidia/OpenAI/COLO

Midea

Plano, TX • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Midea America Corp. is one of the world's largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion and partnership with our teams. We are a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are also ranked #245 as a Fortune Global 500 company and offers one of the most comprehensive ranges in the home appliance industry. Midea America is a subsidiary of Midea Group with over 200 employees in the US and we are expanding our presence in North America. Know more about Midea Group.
Location : Plano, Tx; Locating in Plano office is preferred but we might accomondate remote work for the high-caliber candidate.
Job Responsibilities:
-Build a comprehensive map of the decision-making chain within target clients to identify multi-level business opportunities across new campus constructions, rapid capacity expansions, and technical upgrades. Formulate differentiated penetration strategies, tailoring approaches to Nvidia or OpenAI's focus on "speed and density" and Colo clients' focus on "standardization and scalability."
-Drive partnership upgrades with Nvidia or OpenAI and Colo clients through joint POCs (Proof of Concepts), technical certifications, and master framework agreements.
-Technical Roadmap Alignment & Solution Steering
Deeply understand Google or Nvideia or OpenAI's AI compute expansion roadmap (TPU/GPU cluster scale, deployment density, deployment cadence) and the evolution of their cooling requirements (the transition path from air cooling to liquid cooling, high-density rack cooling bottlenecks).
- Proactively identify alignment opportunities and gaps for Midea's cooling solutions to guide and influence headquarters' R&D teams in planning and positioning products ahead of the market.
Job Requirements:
1. Experience & Background
Education: Bachelor's degree or above in Engineering or Business (MBA preferred).
Industry Experience: 10+ years of experience in the data center/critical infrastructure industry, with at least 5 years of local North American business experience serving Hyperscalers, AI-native companies, or top-tier Colo clients.
Client Portfolio: Must possess proven data center infrastructure business experience with Google or Nvidia or OpenAI or equivalent AI-native giants (Anthropic, xAI, etc.) as well as top-tier Colo clients (Equinix, Digital Realty, etc.). Deeply understand the distinct decision-making logic and procurement cadences of AI clients versus Colo clients.
Industry Insights: Deep understanding of AI compute expansion trends (GPU cluster scale, high-density deployment, liquid cooling evolution); thoroughly familiar with AI clients' core requirements for data center infrastructure (especially cooling systems) across three dimensions: speed, density, and scalability.
Business Models: Nice to be familiar with Colo clients' business models (wholesale, retail, managed services), technical standards, and global supply chain management practices.
Track Record: Proven track record of rapidly advancing POCs (Proof of Concepts) and converting them into master framework agreements is highly preferred.
2. Professional Skills
Thermal Management Expertise: Deep understanding of data center thermal management systems (air cooling, water cooling, liquid cooling) in high-density AI deployment scenarios; familiar with the technical essentials of liquid cooling (cold plate, immersion) as the standard cooling solution for AI clusters.
Speed-to-Market Execution: Understand AI clients' extreme requirements for deployment speed (e.g., 6-9 months from breaking ground to going live) and capable of designing differentiated solutions across plan design, supply chain assurance, and delivery processes centered around "acceleration."
Colo Standards: Familiar with Colo clients' standardized design specifications and their specific requirements for equipment reliability and maintainability.
Commercial Acumen: Excellent business negotiation, pricing strategy, and contract clause review capabilities; able to independently calculate and propose TCO (Total Cost of Ownership) for complex solutions.
Standards & Compliance: Familiar with North American data center standards and specifications such as Uptime Tier, TIA-942, and ASHRAE.
3. Core Competencies
Communication & Influence: Capable of independently delivering solution presentations and engaging in strategic dialogues at the CXO/VP level; able to persuade client executives using speed and TCO as core arguments.
Technical Acumen & Vision: Able to translate AI compute expansion trends into technical inputs for Midea's cooling solutions, proactively identifying directions for product adaptation and supply chain readiness.
Agility & Responsiveness: Adaptable to the extremely fast decision-making and delivery pace of AI clients; capable of rapidly adjusting strategies and driving internal resource responsiveness in highly uncertain environments.
Cross-Cultural Bridge: Effectively bridge and navigate the working culture and decision-making mechanisms of Midea's China headquarters, serving as an accurate translator of requirements and resources.
Self-Drive & Local Decision-Making: Highly self-driven with the ability to make independent judgments and swift decisions under a clearly defined strategic direction.
Ecosystem Connectivity
Industry Network: Candidates who bring an established network of technical or procurement contacts within AI clients (OpenAI, Anthropic, etc.) or Colo clients (Equinix, Digital Realty, etc.) are highly preferred.
Midea America Corp is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.