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Full Time H1B Computer Science Jobs in Raleigh, NC

UNC-Chapel Hill

Assistant Professor

Chapel Hill, NC

UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a ... The College of Engineering at NC State, ranked one of the finest engineering and computer science ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC

$41.70K - $56.60K/yr

... Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC ... Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC

$41.70K - $56.60K/yr

... Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC ... Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC

$41.70K - $56.60K/yr

... Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC ... Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC

$41.70K - $56.60K/yr

... Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC ... Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

Jobsbridge

Senior Back End Engineer

Morrisville, NC · On-site

Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC/CITIZEN can apply Requirements: Bachelors degree in computer science, computer engineering, or information ...

Garmin International, Inc.

Senior Software Engineer

Cary, NC · On-site

$124.80K - $164.60K/yr

This is an individual contributor role. * Full-time remote work is not available. Requirements: Bachelor of Science Degree in Communication or Telecommunication Engineering, Computer Science ...

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See Raleigh, NC salary details

$81.2K

$99.6K

$131.7K

How much do full time h1b computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for full time h1b computer science in Raleigh, NC is $99,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $111,800.00 per year, depending on experience, location, and employer.

What is the difference between Full Time H1B Computer Science vs Full Time H1B Software Engineer?

AspectFull Time H1B Computer ScienceFull Time H1B Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related field; often includes certificationsBachelor's or higher in Software Engineering, Computer Science, or related field; certifications vary
Work EnvironmentResearch, development, academia, or industry roles involving computing principlesDesigning, developing, and testing software applications in tech companies or IT firms
Employer & Industry UsageUniversities, research labs, tech companies, government agenciesTech firms, startups, software development companies, IT departments

Both roles require a background in Computer Science, but Full Time H1B Computer Science often involves research or theoretical work, while Full Time H1B Software Engineer focuses on practical software development. The choice depends on your career focus within the tech industry.

What are popular job titles related to Full Time H1B Computer Science jobs in Raleigh, NC? For Full Time H1B Computer Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time H1B Computer Science jobs in Raleigh, NC look for? The top searched job categories for Full Time H1B Computer Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time H1B Computer Science jobs? Cities near Raleigh, NC with the most Full Time H1B Computer Science job openings:
Full Time H1B Computer Science jobs near you
Behavioral Scientist - AI Trainer

Behavioral Scientist - AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$40/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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