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Openai Remote Jobs in Texas (NOW HIRING)

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Integrate with AI platforms including Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and ...

Experience with platforms such as Microsoft Copilot, Power Automate, OpenAI APIs, or similar AI ... Remote work and more! About Service-Link: Service-Link specializes in optimizing fieldwork ...

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Openai Remote information

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Who owns 51% of OpenAI?

OpenAI is a private company with a mixed ownership structure. As of now, no individual or entity owns 51% of OpenAI; it is primarily owned by its founders, employees, and investors. The organization operates as a capped-profit company focused on AI research and development.

What are some common challenges faced by employees working remotely at OpenAI, and how does the company support remote team collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

How hard is it to get hired by OpenAI?

Getting hired for an OpenAI remote position typically requires a strong background in relevant fields such as machine learning, AI research, or software engineering, along with demonstrated technical skills and experience. The application process often involves multiple interview stages, including technical assessments and behavioral interviews, making it competitive for qualified candidates.

What are the key skills and qualifications needed to thrive as an OpenAI Remote employee, and why are they important?

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What are OpenAI remote jobs?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.

How can I make 2000 a week working from home?

To make $2000 a week working from home in a role like OpenAI remote work, you typically need to have specialized skills, such as AI development, data analysis, or technical writing, and often work as a freelancer, consultant, or in a high-paying remote position. Building a strong portfolio, gaining relevant certifications, and leveraging platforms that connect remote professionals can help increase earning potential. Consistent high-quality work and expanding your client base are key to reaching this income level.

Does OpenAI offer anything remote?

OpenAI offers remote job opportunities, including roles like OpenAI Remote positions, which often involve collaboration using online tools and require strong communication skills. These roles typically support flexible schedules and may require familiarity with AI technologies and remote work best practices.
What are the most commonly searched types of Openai jobs in Texas? The most popular types of Openai jobs in Texas are:
What cities in Texas are hiring for Openai Remote jobs? Cities in Texas with the most Openai Remote job openings:
Infographic showing various Openai Remote job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 6% As Needed, 82% Full Time, 3% Part Time, 3% Contract, and 4% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

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

Midea

Plano, TX • On-site, Remote

Full-time

Posted 25 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.

Employment Type: FULL_TIME