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Temporary Open Ai Jobs (NOW HIRING)

Temporary Assignment * Seeking a hands-on AI Native Software Engineer to design, build, and deploy ... Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models) * Build ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Familiarity with modular open system architectures (MOSA) and Government Reference Architectures ...

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... Familiarity with modular open system architectures (MOSA) and Government Reference Architectures ...

Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Two openings: 1 focused on Mechanical ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Familiarity with modular open system architectures (MOSA) and Government Reference Architectures ...

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How much do temporary open ai jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for temporary open ai in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary OpenAI Engineer, and why are they important?

To thrive as a Temporary OpenAI Engineer, you need a strong background in computer science, machine learning, and programming, typically supported by a relevant degree and experience with AI development. Familiarity with tools like Python, TensorFlow or PyTorch, and cloud platforms is commonly required, along with knowledge of version control systems like Git. Strong problem-solving skills, adaptability, and effective communication help you excel in a fast-paced, collaborative R&D environment. These skills ensure you can contribute to innovative AI projects, adapt to evolving technologies, and work efficiently within dynamic teams.

What is the difference between Temporary Open Ai vs Data Analyst?

AspectTemporary Open AiData Analyst
Required CredentialsOften no formal degree required; familiarity with AI toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentProject-based, flexible, often remoteOffice or remote, structured work hours
Employer & Industry UsageTech companies, startups, AI-focused projectsBusiness, finance, healthcare, and various industries
Common Search & ComparisonTemporary Open Ai vs Data AnalystSimilar roles in data-driven industries

Temporary Open Ai roles focus on short-term AI project support, requiring familiarity with AI tools and flexible work settings. Data Analysts analyze data to inform business decisions, often with formal education. While both roles involve data, Temporary Open Ai is more specialized in AI applications, whereas Data Analysts have broader data analysis responsibilities.

What are Temporary Open AI jobs?

Temporary Open AI jobs are short-term positions offered by OpenAI or related organizations to support specific projects, research initiatives, or operational needs. These roles may include research assistants, software engineers, data annotators, or project managers, and typically last for a defined period, such as a few months. Temporary positions provide opportunities to work with cutting-edge artificial intelligence technologies and gain valuable experience, often with the possibility of transitioning to a permanent role. Candidates are usually expected to have relevant technical or research skills, and the work environment is fast-paced and collaborative.

What are some common challenges when working in a temporary AI role, and how can I prepare for them?

In a temporary AI position, one common challenge is quickly adapting to existing projects and workflows, as you'll often be expected to contribute immediately with minimal onboarding. You may also face tight deadlines and the need to rapidly learn new tools or data sets specific to the company. To prepare, familiarize yourself with common AI frameworks, maintain strong communication with team members, and be proactive in seeking clarification on project requirements. Flexibility and a willingness to learn are key to thriving in this fast-paced, dynamic environment.
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Infographic showing various Temporary Open Ai job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $38,238 per year, or $18.4 per hour.
Sr. Staff Thermal Engineer - Aircraft Avionics & Thermal Systems (R3930)

Sr. Staff Thermal Engineer - Aircraft Avionics & Thermal Systems (R3930)

Shield AI

Dallas, TX

Full-time

Posted 27 days ago


Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Are you a passionate and innovative thermal engineer looking to help develop state of the art AI and aircraft products? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates?  Shield AI is just the place for you!
 
As a Sr. Staff Thermal Engineer at Shield AI, you will lead the design, analysis, and integration of aircraft avionics thermal management systems, with opportunities to flex into aircraft-level thermal and fluid systems.
 
This role is best suited for an engineer who thrives on first-principles problem solving, is comfortable with ambiguous, open-ended challenges, and can bridge technical disciplines with strong communication and collaboration skills and the ability to simplify and communicate complex problems. The engineer will be a key contributor in shaping designs, mentoring peers, and ensuring robust thermal solutions that meet mission-critical aerospace requirements.
What you'll do:
  • Contribute to thermal analysis and design efforts for unmanned aerial vehicle avionics and thermal/fluid systems.
  • Develop and validate analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD.
  • Drive test planning, instrumentation, and data analysis to correlate models with experimental results.
  • Communicate technical findings clearly through executive-level briefings, design reviews, and written reports.
  • Proactively identify risks, propose solutions, and influence electrical and/or PCBA design direction.
Required qualifications:
  • B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline.
  • Minimum 7 years of professional experience in avionics or electronics thermal engineering.
  • Strong expertise in heat transfer (conduction, convection, radiation) and fluid mechanics.
  • Deep understanding of active and passive cooling solutions and their integration at component and system level.
  • Deep understanding of thermal management design elements including TIMs, spreaders, heat sinks, vapor chambers, heat pipes, and fans
  • Proficiency with thermal analysis and CFD tools (e.g., ANSYS Icepak, FloEFD, STAR-CCM+).
  • Proficiency with CAD design tools such as NX, SolidWorks, or similar.
  • Demonstrated experience applying first-principles reasoning to complex engineering problems.
  • Strong written and verbal communication skills, with a track record of leading technical discussions and presenting to stakeholders.
  • Proven ability to learn and adapt quickly to new tools, processes, and technical challenges in a fast paced, startup environment.
Preferred qualifications:
  • M.S. or Ph.D. in a relevant engineering discipline.
  • Experience with high altitude aircraft avionics cooling and thermal design.
  • Familiarity with aircraft integration constraints (power, weight, volume, maintainability, safety).
  • Hands-on experience with thermal and fluid system testing, instrumentation, and validation.
  • Knowledge of materials and manufacturing methods relevant to thermal management (pumps, heat exchangers, composites, etc.)
  • Experience guiding trade studies, proposals, and customer interactions in aerospace or defense programs.
  • Background in multi-disciplinary system integration, spanning avionics, fluid systems, and systems engineering
#LI-MS2
#L4

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.