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Seasonal Programmer Jobs (NOW HIRING)

Scientific AI Programmer

Princeton, NJ · On-site

$40K - $80K/yr

Through the work of this position, SAIC will develop a seasonal to subseason (S2S) AI weather forecast model. The Scientific AI programmer will evaluate an existing emulator and develop a prototype ...

Creation of seasonal programming, aquatics events, and member engagement activities * Ensuring all classes, lessons, and guards uphold the highest safety and service standards * Regular assessment ...

... programming at Newfields. These positions will shift dependent on the Newfields seasonal calendar ... breaks within seasonal calendar may occur. Ideal candidates must be available September through ...

$35.14/hr

Seasonal per show; IATSE local 122; Non-Exempt (Hourly) PAY: $35.14 per hour, negotiable ( current ... The Moving Light Programmer will collaborate closely with visiting Lighting Designers, the ...

If you have a background in distribution, manufacturing, engineering, transportation, finance ... The Seasonal Recruiter position is located in Olive Branch, MS You'll be excited about this ...

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Seasonal Programmer information

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How much do seasonal programmer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for seasonal programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a seasonal programmer?

Seasonal programmers are software developers or coders who are hired on a temporary basis, often during peak business periods when companies need extra help to complete projects or handle increased workloads. These positions can be found in industries like retail, tax preparation, or event management, where technology demands fluctuate throughout the year. Seasonal programmers typically work on short-term assignments, such as updating software, developing new features, or providing technical support. Their contracts usually last for a few months, aligning with the busy season of the employer. This role is ideal for individuals seeking temporary work or looking to gain experience in different industries.

What are the key skills and qualifications needed to thrive as a seasonal programmer, and why are they important?

To thrive as a Seasonal Programmer, you need proficiency in programming languages such as Java, Python, or C++, along with a solid understanding of software development principles and a relevant degree or coursework. Familiarity with version control systems (like Git), integrated development environments (IDEs), and basic debugging tools is typically required. Strong problem-solving abilities, adaptability, and effective teamwork distinguish standout candidates in this role. These skills and qualities ensure that Seasonal Programmers can quickly contribute to projects, adapt to changing needs, and deliver high-quality software within tight timelines.

What are some unique challenges faced by seasonal programmers, and how can they prepare for them?

Seasonal Programmers often work on short-term projects with tight deadlines, which can make rapid onboarding and quick adaptation to new codebases essential. They may join teams during peak periods, so being proactive in communication and asking clarifying questions is crucial to integrate smoothly. Additionally, balancing multiple priorities and staying updated with project-specific tools or technologies can be challenging. To succeed, it's helpful to review relevant documentation before starting, leverage pair programming opportunities, and maintain flexibility in your workflow.

Can you work part-time as a seasonal programmer?

Yes, seasonal programmers often have the option to work part-time depending on the employer’s needs and project requirements. Part-time roles may involve fewer hours and a shorter commitment, but availability can vary by company and season. It is common for seasonal positions to offer flexible schedules to accommodate project deadlines and workload fluctuations.

Is there a demand for seasonal programmers?

Seasonal programmers are in demand during peak periods such as holidays, product launches, or specific industry cycles, especially in fields like gaming, e-commerce, and software development. Employers often seek programmers with skills in languages like Java, Python, or C++, and familiarity with version control and agile environments to meet project deadlines. The demand can vary based on industry needs and regional job markets.
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Infographic showing various Seasonal Programmer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, 9% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Scientific AI Programmer

SAIC

Princeton, NJ • On-site

$40K - $80K/yr

Full-time

Posted 24 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 225 rated it services


Job description

Job Description
Description
SAIC is seeking an experienced Scientific AI programmer for a position at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) that will focus on creating a complex earth system model emulator. Through the work of this position, SAIC will develop a seasonal to subseason (S2S) AI weather forecast model. The Scientific AI programmer will evaluate an existing emulator and develop a prototype for the S2S timescale. You will work collaboratively with federal, contractor, university, and private sector scientists and developers and with the scientific evaluation team to assess the readiness of the AI forecast model for operational use.
This position requires an ability to obtain and maintain a Public Trust background investigation. This position is located in Princeton, NJ.
Responsibilities include, but are not limited to:
  • Evaluate the existing seasonal to decadal AI emulator prototype to determine its utility for S2S timescales
  • Build an S2S AI emulator using SPEAR hindcasts, reanalysis, and other earth-system data for S2S forecasts
  • Determine the operational readiness of the S2S AI emulator
  • Coordinate with federal, contractor, university, and private sector scientists to align variables and training frameworks with research objectives
  • Deliver status updates through various communication channels such as team meetings and written reports

Qualifications
Required Education:
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience

Required Qualifications:
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline.
  • Two years of experience in developing and training AI models using large data sets
  • Four years of specialized experience in determining information technology effects on the organizational structure and determining the ability that IT can support/meet organizational goals.
  • With a Master's Degree (in the fields described in Min. Education above): two years experience
  • With a PH.D. (in the fields described in Min. Education above).: no experience required
  • With at least 8 years of specialized experience, a degree is not required.
  • Proficient in Python Programming
  • Experience managing projects with Git
  • Strong interpersonal skills to support collaborative team environments

Desirable Skills:
  • Basic knowledge of ocean, atmosphere and/or climate and weather processes or a related science.
  • Experience with object storage and traditional disk environments
  • Experience using NetCDF and Zarr datasets
  • Familiarity with High-Performance Computing (HPC) environments and batch queuing systems like Slurm.
  • Experience with modern AI-assisted coding workflows and/or MLOps tools to accelerate development cycles.

Background:
The Allen Institute for Artificial Intelligence (Ai2) and Multiscale Machine Learning In Coupled Earth System Modeling project (M²LInES), in partnership with GFDL, are developing several AI emulators for long time-scale simulations. These include an atmosphere model (ACE), an ocean model (Samudra), and a coupled model emulator (SamudrACE). The Software Engineering for Novel Architectures (SENA) initiative funded GFDL in FY2026 to develop an AI model emulator at seasonal to decadal timescales using data from GFDL's SPEAR mode. The SPEAR emulator project began in January 2026.
Program and Project Details:
The proposed work is a continuation of the previous research of SamudraACE and the SPEAR emulator to apply these methods to the subseasonal to seasonal (S2S) timescales. The work will be done primarily on NOAA systems. When ready, the S2S AI forecast will be transitioned into the NOAA EAGLE Project pipeline for operational use.
Target salary range: $40,001 - $80,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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