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Temporary Neural Networks Jobs (NOW HIRING)

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 ...

This is a temporary, project-based role and an Expression of Interest for upcoming needs ... Demonstrated interest and experience in neural networks and machine learning technologies related ...

This is a temporary, project-based role and an Expression of Interest for upcoming needs ... Demonstrated interest and experience in neural networks and machine learning technologies related ...

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 ...

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 23, 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.
More about Temporary Neural Networks jobs
What cities are hiring for Temporary Neural Networks jobs? Cities with the most Temporary Neural Networks job openings:
What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
What states have the most Temporary Neural Networks jobs? States with the most job openings for Temporary Neural Networks jobs include:
Infographic showing various Temporary Neural Networks job openings in the United States as of July 2026, with employment types broken down into 26% Full Time, 73% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $52,136 per year, or $25.1 per hour.
Fraud Data Scientist II

Fraud Data Scientist II

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

66th of 150 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019