ZipRecruiter

Log In

1

Temporary Ai Training Jobs (NOW HIRING)

previous page

Showing results 41-60

All JobsAi Training JobsTemporary Ai Training Jobs

Temporary Ai Training information

See salary details

$32K

$68.7K

$112K

How much do temporary ai training jobs pay per year?

As of Aug 7, 2026, the average yearly pay for temporary ai training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary AI training specialist?

To excel as a Temporary AI Training Specialist, you typically need strong analytical skills, attention to detail, and familiarity with data labeling or annotation processes, often supported by a background in computer science or related fields. Experience with annotation tools, data management platforms, or basic programming languages like Python is highly beneficial. Strong communication, adaptability, and the ability to follow guidelines precisely are critical soft skills in this role. These capabilities ensure high-quality data preparation, which is essential for training effective AI systems.

What are some typical challenges faced in a temporary AI training role, and how can I prepare for them?

In a Temporary AI Training position, you may encounter challenges such as processing large volumes of data, maintaining accuracy during repetitive annotation tasks, and adapting quickly to evolving guidelines. You’ll often need to collaborate with project managers and engineers to ensure your work aligns with model requirements, which demands strong communication and attention to detail. To succeed, it helps to develop efficient workflows, stay organized, and be proactive in seeking clarification when instructions are unclear. This role offers valuable experience in the growing field of artificial intelligence and can be a stepping stone to more advanced opportunities.

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

AspectTemporary Ai TrainingData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data handlingAttention to detail, basic computer skills
Work EnvironmentTech companies, remote or on-site, project-basedData labeling teams, remote or on-site, task-specific
Employer & Industry UsageAI development firms, tech startupsData services providers, AI companies
Search & Comparison IntentUnderstanding roles in AI trainingData labeling and annotation tasks

Temporary Ai Training involves preparing AI models by providing labeled data, often requiring some technical knowledge. Data Annotators focus on labeling data accurately for AI systems, typically with minimal technical requirements. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What is a temporary AI training?

A Temporary AI Training job typically involves working on short-term projects to help train artificial intelligence systems. This may include tasks such as labeling images, transcribing audio, or categorizing data to improve the accuracy of machine learning models. These positions are often contract-based and do not require advanced technical skills, making them accessible to a wide range of job seekers. The work is crucial for ensuring that AI systems can understand and process information correctly. Temporary AI Training roles may be remote or in-office, depending on the employer.
More about Temporary Ai Training jobs
What cities are hiring for Temporary Ai Training jobs? Cities with the most Temporary Ai Training job openings:
What are the most commonly searched types of Ai Training jobs? The most popular types of Ai Training jobs are:
What states have the most Temporary Ai Training jobs? States with the most job openings for Temporary Ai Training jobs include:
What job categories do people searching Temporary Ai Training jobs look for? The top searched job categories for Temporary Ai Training jobs are:
Temporary Ai Training jobs near you
Infographic showing various Temporary Ai Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $68,682 per year, or $33 per hour.

Senior Staff Software Engineer, Perception (R4985)

Shield AI

Dallas, TX • On-site

$233K - $350K/yr

Full-time

Posted 10 days ago

Job description

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 
In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. 
What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience.

  • Mastery of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$233,760 - $350,640 a year
#LI-DS-1
#LE

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.
 
###
 
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.
apply for this job

Apply