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Temporary Neural Networks Jobs (NOW HIRING)

Truist

Fraud Data Scientist II

Wilson, NC

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Fraud Data Scientist II

Charlotte, NC

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Data Scientist II

Wilson, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Capital Group

Lead AI Research Scientist

Los Angeles, CA · On-site

$264K - $423K/yr

... deep neural networks. * You stay at the forefront of AI advancements, applying state-of-the-art ... Temporary positions in the United States are excluded from the above mentioned compensation and ...

Truist

Data Scientist II

Atlanta, GA

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Capgroup

Lead AI Research Scientist

Irvine, CA · On-site

$264K - $423K/yr

... deep neural networks. * You stay at the forefront of AI advancements, applying state-of-the-art ... Temporary positions in the United States are excluded from the above mentioned compensation and ...

Capgroup

Lead AI Research Scientist

San Francisco, CA · On-site

$264K - $423K/yr

... deep neural networks. * You stay at the forefront of AI advancements, applying state-of-the-art ... Temporary positions in the United States are excluded from the above mentioned compensation and ...

Truist

Data Scientist II

Charlotte, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Truist

Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

Capgroup

Lead AI Research Scientist

Los Angeles, CA · On-site

$264K - $423K/yr

... deep neural networks. * You stay at the forefront of AI advancements, applying state-of-the-art ... Temporary positions in the United States are excluded from the above mentioned compensation and ...

Truist

Data Scientist II

Raleigh, NC · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... learning, neural networks, and natural language processing) in a variety of environments using ...

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Temporary Neural Networks information

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$32K

$52.1K

$76K

How much do temporary neural networks jobs pay per year?

As of Jul 2, 2026, the average yearly pay for temporary neural networks in the United States is $52,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $65,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and educators, are likely to persist despite AI advancements. Neural networks and AI tools can assist but are less capable of replacing roles that demand empathy, nuanced judgment, and hands-on skills.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, with compensation including salary, bonuses, and stock options reaching that amount annually. These roles often require advanced skills in neural networks, deep learning, and extensive industry experience. Such positions are usually found in leading tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Is ML a high paying job?

Machine learning (ML) roles, including positions related to neural networks, are generally well-paid due to high demand for specialized skills such as programming, data analysis, and knowledge of frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but many ML jobs offer competitive compensation compared to other tech roles.

What is the difference between Temporary Neural Networks vs Data Scientists?

AspectTemporary Neural NetworksData Scientists
Required CredentialsBasic understanding of neural network concepts, often with short-term training or certificationsAdvanced degrees (BSc, MSc, PhD) in data science, computer science, or related fields
Work EnvironmentProject-based, often contracted or temporary roles in tech or research firmsFull-time or consulting roles in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed mainly in AI research, machine learning projects, and startupsWidely employed across industries for data analysis, predictive modeling, and decision-making

Temporary Neural Networks focus on short-term or project-specific AI model deployment, often requiring specialized technical skills. Data Scientists have a broader role involving data analysis, model development, and strategic insights across multiple industries. While both roles involve working with data and machine learning, Data Scientists typically have more extensive credentials and a wider scope of responsibilities.

What jobs in the US pay 300,000 a year?

In the field of neural networks and artificial intelligence, senior roles such as AI research directors, machine learning engineers, and data science executives can earn $300,000 or more annually, especially with extensive experience, advanced degrees, and specialized skills in deep learning frameworks and cloud computing. These positions often require leadership responsibilities, advanced certifications, and a strong track record of innovation or project management.
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Temporary Neural Networks jobs near you
Post Doctoral Associate

Post Doctoral Associate

The University of Miami

Coral Gables, FL • On-site

$46K - $63K/yr

Full-time

Posted 17 days ago

University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

224th of 544 rated colleges and universities

Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami, College of Engineering has a great opportunity for a Post Doctoral Associate to work at the Coral Gables Campus.
CORE JOB SUMMARY
The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific community.
CORE JOB FUNCTIONS
1. Conducts research on specific areas of study as assigned.
2. Prepares research reports and technical papers for publishing.
3. Investigates the feasibility of applying a wide variety of scientific principles and theories.
4. Maintains substantial knowledge of state-of-the-art principles and theories.
5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
6. Adheres to University and unit-level policies and procedures and safeguards University assets.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
CORE QUALIFICATIONS
Education:
Doctorate degree Medicine (MD) required
Experience:
No previous experience required
Certification and Licensing:
Refer to department description for applicable certification requirements
Knowledge, Skills and Abilities:
  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.
  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.
Department Specific Functions
  • Support the PI in launching new interdisciplinary robotics research and educational initiatives in the ECE Department and across the College of Engineering, including foundational program design and curriculum integration.
  • Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction.
  • Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, particularly in the area of medical robotics for surgical and assistive applications.
  • Assist with setting up the PI's new research lab, including hardware/software integration, experimental platforms, and safety protocols.
  • Support preparation and submission of competitive grant proposals to federal funding agencies (e.g., NSF, NIH).
  • Mentor and help recruit and train graduate students and undergraduate researchers in robotics, mechatronics, and machine learning.
  • Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems.
  • Present research at national and international conferences and co-author peer-reviewed publications in leading robotics and AI venues.

Department Specific Qualifications
Education:
Ph.D. in Electrical and Computer Engineering, Robotics, Mechanical Engineering, or a closely related Engineering field.
Certification and Licensing:
Not applicable.
Experience:
  • Extensive experience in robotics system design, real-time control, and embedded systems integration.
  • Demonstrated expertise in artificial intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics.
  • Track record of peer-reviewed publications and active participation in interdisciplinary research projects.
  • Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred.

Knowledge, Skills and Attitudes:
  • Strong programming skills (Python, C++, MATLAB) and experience with software tools such as TensorFlow, ROS, Gazebo, and OpenCV.
  • Familiarity with robotic hardware platforms (e.g., Kinova robotic arms, UAVs, mobile robots) and real-time operating systems.
  • Excellent communication skills and ability to work in cross-functional and interdisciplinary teams.
  • Demonstrated initiative, creativity, and problem-solving ability in research and development environments.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.
With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.
We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Staff

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925

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