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Temporary Ai Trainer Jobs (NOW HIRING)

V-BAT Internal Training Instructor (R5023)

Dallas, TX · On-site +1

$56K - $74K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

AI Solutions Manager

Centerville, MN · On-site +1

$83K - $89K/yr

Designs and delivers AI training programs that build staff literacy, confidence and responsible ... Employment Classification: Full Time * Regular / Temporary: Regular * Workdays: Monday - Friday ...

AI Solutions Manager

Centerville, MN · On-site

$83K - $89K/yr

Designs and delivers AI training programs that build staff literacy, confidence and responsible ... Employment Classification: Full Time * Regular / Temporary: Regular * Workdays: Monday - Friday ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and ... Ensure data quality, lineage, and governance standards are maintained across all AI training and ...

AI Engineering Lead- AI Safety

Charlotte, NC

$100K - $131K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Bachelor's degree or equivalent education, training, and work-related experience. * Minimum of 10 ...

AI Engineering Lead- AI Safety

Charlotte, NC · On-site

$100K - $131K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Bachelor's degree or equivalent education, training, and work-related experience. * Minimum of 10 ...

Key Responsibilities Own end-to-end compliance for all temporary employees placed under the ... extension AI productivity tools and training provided at no cost to employees Comprehensive ...

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Temporary Ai Trainer information

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How much do temporary ai trainer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for temporary ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What are some common challenges faced by Temporary AI Trainers, and how can they be addressed?

Temporary AI Trainers often face the challenge of quickly adapting to new data sets and annotation guidelines, as projects and requirements can change frequently. Balancing speed and accuracy is crucial, especially when labeling large volumes of data under tight deadlines. Communication with permanent team members is important to clarify uncertainties and ensure consistency in training data. To address these challenges, it's helpful to ask questions early, make use of available documentation, and participate actively in feedback sessions to continuously improve your work.

What are Temporary AI Trainers?

Temporary AI Trainers are professionals hired on a short-term basis to help train artificial intelligence systems. Their responsibilities typically include labeling data, reviewing machine learning outputs, and providing feedback to improve AI models’ accuracy. These roles are essential for teaching AI systems to recognize patterns, understand language, or perform specific tasks. Temporary AI Trainers often work on projects with a defined duration or until a particular dataset is fully annotated. This position is ideal for those interested in the growing field of AI and machine learning but looking for flexible or project-based work.

What is the difference between Temporary Ai Trainer vs Data Annotator?

AspectTemporary Ai TrainerData Annotator
Required CredentialsBasic technical skills, familiarity with AI conceptsAttention to detail, basic computer skills
Work EnvironmentRemote or on-site, collaborative with AI teamsRemote or on-site, focused on data labeling tasks
Employer & Industry UsageTech companies, AI startups, research labsTech firms, data companies, AI development projects
Search & Comparison IntentUnderstanding roles in AI trainingData labeling and annotation roles

Temporary Ai Trainers and Data Annotators both support AI development but differ mainly in scope. Temporary Ai Trainers focus on training AI models through supervised tasks, requiring some technical knowledge. Data Annotators primarily label data to prepare datasets, emphasizing attention to detail. Both roles are essential in AI projects and often overlap in work environment and industry usage.

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

To thrive as a Temporary AI Trainer, you need strong analytical skills, attention to detail, and a background in linguistics, data annotation, or a related field. Familiarity with annotation platforms, spreadsheet tools, and sometimes basic programming or scripting is often required. Excellent communication, adaptability, and the ability to follow detailed instructions make someone stand out in this position. These skills ensure high-quality data labeling and feedback, which are critical for improving AI models' accuracy and performance.
What cities are hiring for Temporary Ai Trainer jobs? Cities with the most Temporary Ai Trainer job openings:
What are the most commonly searched types of Ai Trainer jobs? The most popular types of Ai Trainer jobs are:
What states have the most Temporary Ai Trainer jobs? States with the most job openings for Temporary Ai Trainer jobs include:
What job categories do people searching Temporary Ai Trainer jobs look for? The top searched job categories for Temporary Ai Trainer jobs are:
Infographic showing various Temporary Ai Trainer job openings in the United States as of June 2026, with employment types broken down into 46% Full Time, 41% Part Time, and 13% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
V-BAT Internal Training Instructor (R5023)

V-BAT Internal Training Instructor (R5023)

Shield AI

Dallas, TX • Remote

$110K - $172K/yr

Full-time

Posted 18 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:

The V-BAT Internal Training Instructor is responsible for executing and maintaining standardized training for Shield AI Aircraft Operators and Maintenance Technicians. This role serves as a training standardization authority, ensuring all personnel are qualified, current, and prepared to support operational requirements.

What you'll do:
  • Deliver initial qualification training for Aircraft Operators and Maintenance Technicians
  • Conduct instructor upgrades, evaluations, and endorsements required for operational events
  • Ensure adherence to standardized procedures, checklists, and training requirements
  • Maintain oversight of individual qualifications, currency, and additional requirements
  • Evaluate trainee performance and certify readiness for operational tasking
  • Support development and refinement of training materials, syllabi, and evaluation criteria
  • Enforce training standards and identify gaps in performance, curriculum, or execution
  • Coordinate with operations, standardization, and maintenance teams to align training with mission requirements
  • Support test events, exercises, and deployments as required
  • Provide mentorship and guidance to operators and technicians to maintain a high standard of performance
Required qualifications:
  • Experience as a UAS operator, maintainer, or military aviation instructor
  • Background in structured training environments with formal evaluation processes
  • Strong understanding of aviation procedures, safety, and standardization
  • Experience conducting evaluations, certifications, or qualifications
  • Ability to enforce standards and provide clear, direct feedback
  • Strong communication and organizational skills
Preferred qualifications:
  • Instructor Pilot (IP), Evaluator (EP), or equivalent designation
  • Experience with Group 3-5 UAS or comparable systems
  • Background in maintenance training or certification programs
  • Experience supporting operational or deployed environments
  • At least 3000 documented unmanned flight hours or 1500 manned flight hours
  • FAA Private Pilot License (PPL)
  • FAA Instrument Rating and/or Commercial Pilot Rating
  • FAA Part 107 Remote Pilot Certificate 
Work Environment:
  • Combination of classroom, simulator, and field environments
  • Travel required for training support, testing, and deployments
  • Work may include austere or remote locations
$110,000 - $172,000 a year
#LI-JM1
#LD

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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