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Temporary Ai Math Trainer Jobs in Texas (NOW HIRING)

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Temporary Ai Math Trainer information

What is the difference between Temporary Ai Math Trainer vs Temporary Math Tutor?

AspectTemporary Ai Math TrainerTemporary Math Tutor
Required CredentialsBasic math knowledge, possibly some AI or tech familiarityMath degree or teaching certification often preferred
Work EnvironmentOnline platforms, tech-driven settingsIn-person or online tutoring sessions
Employer & Industry UsageEdTech companies, AI-focused education servicesSchools, tutoring centers, private clients

Temporary Ai Math Trainers focus on leveraging AI tools to assist in math education, often requiring tech familiarity. In contrast, Temporary Math Tutors typically provide direct instruction based on traditional methods. Both roles support student learning but differ in tools and environment used.

What are the typical daily tasks of a Temporary AI Math Trainer, and how do they contribute to AI model development?

As a Temporary AI Math Trainer, your daily tasks often involve reviewing, annotating, and generating math-related data and problem sets to help train and improve AI models. You may be responsible for assessing the accuracy of AI-generated mathematical solutions, providing feedback, and ensuring that the content meets specified quality standards. Collaboration with data scientists and other AI trainers is common to address challenging problems and refine data labeling guidelines. This role is crucial for enhancing the AI's understanding and accuracy in solving mathematical queries, and it provides valuable experience in both education and AI development environments.

What are the key skills and qualifications needed to thrive as a Temporary AI Math Trainer, and why are they important?

To excel as a Temporary AI Math Trainer, you need a solid background in mathematics, analytical thinking, and familiarity with machine learning concepts, often supported by a degree in math, computer science, or a related field. Experience with annotation platforms, data labeling tools, and sometimes programming languages like Python is typically required. Attention to detail, effective communication, and the ability to provide clear, constructive feedback are crucial soft skills in this role. These competencies ensure that the AI models are trained accurately and efficiently, leading to better performance and reliability in mathematical tasks.

What are Temporary AI Math Trainers?

Temporary AI Math Trainers are professionals hired on a short-term basis to help train artificial intelligence systems in understanding and solving mathematical problems. Their tasks typically include evaluating AI-generated math solutions, labeling data, and providing feedback to improve the accuracy and performance of AI models. This role requires a strong understanding of mathematics and attention to detail, as the feedback provided directly impacts the learning process of AI systems. Temporary AI Math Trainers may work for education technology companies, research institutes, or organizations developing AI tools. The position is ideal for individuals with a background in mathematics or teaching who are interested in contributing to the development of educational AI.
What are the most commonly searched types of Ai Math Trainer jobs in Texas? The most popular types of Ai Math Trainer jobs in Texas are:
What job categories do people searching Temporary Ai Math Trainer jobs in Texas look for? The top searched job categories for Temporary Ai Math Trainer jobs in Texas are:
What cities in Texas are hiring for Temporary Ai Math Trainer jobs? Cities in Texas with the most Temporary Ai Math Trainer job openings:
Senior Software Engineer, Hardware Test (R4978)

Senior Software Engineer, Hardware Test (R4978)

Shield AI

Dallas, TX

$128K - $192K/yr

Full-time

Re-posted 26 days ago


Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and 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:
Shield AI's mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions.
 
In this role you will develop software that automates hardware testing, integrates test results with existing manufacturing software, create software infrastructure for scaling test automation to dozens of test stands, and create and manage databases for logging test results. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. 
What you'll do:
  • Architect, design, and develop software drivers and interfaces in Python for hardware systems, including PCBAs, avionics, sensors, and automated test equipment.
  • Design and implement automated test frameworks to validate aircraft components and subsystems, ensuring scalability, reliability, and repeatability across multiple programs.
  • Develop and evolve CI/CD pipelines that enable continuous integration, automated validation, and seamless deployment of test stand software.
  • Build and maintain scalable test infrastructure and shared libraries, promoting modularity, reusability, and consistency across teams and platforms.
  • Automate system provisioning and configuration management to accelerate deployment and maintenance of new test stands and test environments.
  • Develop real-time monitoring and data visualization tools (e.g., Grafana) to deliver actionable insights during test execution and system debugging.
  • Lead and participate in design and code reviews, championing sound architectural principles, testability, observability, and reliability throughout the software stack.
  • Collaborate cross-functionally with hardware, systems, and QA teams to integrate software and test capabilities into broader aircraft validation workflows.
  • Other duties as assigned.
Required qualifications:
  • B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.  
  • Mastery of fundamental computer science topics. 
  • Advanced skillset for developing software in Python. 
  • Experience with Linux including Bash scripting and networking. 
  • Ability to configure and maintain small computer networks.  
  • Experience working on complex software development projects, which can be from an internship, job, club, team, personal project, etc... 
  • Demonstrated history of showing ownership of project outcomes and delivering exceptional results.  
  • Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. 
Preferred qualifications:
  • Comfort working with hardware, as the testcases you write will interface with circuit boards, motors, and sensors. 
  • Mastery of fundamental engineering concepts including EE, Mech E, Programming, Physics, and Mathematics.  
  • Experience writing drivers for electronics test equipment. 
  • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. 
$128,045 - $192,067 a year
#LI-JM2
#LC

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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