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Freelance Computer Science Graduate Jobs in Washington, DC

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs * Dash | Data ... Computer Vision | Convolutional Neural Networks | Data Pipelines | Deep learning | Gradient ...

Bct Llc

Software Engineers

Annapolis, MD · On-site

$100 - $200/hr

A bachelor's degree in Engineering, Computer Science, Mathematics, or appropriate field may be substituted for one (1) year of experience or a Graduate degree may be substituted for three (3) years ...

New

Umd

Finance Coordinator

College Park, MD

$73K - $75K/yr

Monitor, track, and analyze expenses for Computer Science student organizations, maintaining accurate financial records. Coordinate billing to the Graduate School for Goldhaber and ICSSA travel ...

University of Maryland

Finance Coordinator

College Park, MD · On-site

$73K - $75K/yr

... computer science program ranked 9th among public universities by U.S. News & World Report. The undergraduate program currently educates over 4,000 diverse students from around the world. The graduate ...

BCT LLC

Software Engineer TS/SCI Poly

Annapolis, MD · On-site

$100K - $200K/yr

A bachelor's degree in Engineering, Computer Science, Mathematics, or appropriate field may be substituted for one (1) year of experience or a Graduate degree may be substituted for three (3) years ...

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Freelance Computer Science Graduate information

See Washington, DC salary details

$10

$26

$78

How much do freelance computer science graduate jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for freelance computer science graduate in Washington, DC is $26.01, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $21.25 per hour, depending on experience, location, and employer.

What is a freelance computer science graduate?

Freelance computer science graduates are individuals who have completed a degree in computer science and offer their technical skills on a project or contract basis, rather than being employed full-time by a single organization. They typically work on tasks such as software development, web design, data analysis, or IT consulting for various clients. Freelancers enjoy flexibility in their work schedules and can choose projects that align with their interests and expertise. This career path requires strong technical abilities, self-motivation, and good communication skills to manage client relationships and project requirements.

What are the key skills and qualifications needed to thrive as a freelance computer science graduate?

To thrive as a Freelance Computer Science Graduate, you need a solid grounding in programming, algorithms, and problem-solving, typically supported by a computer science degree. Familiarity with coding languages (such as Python, Java, or JavaScript), version control systems like Git, and platforms like GitHub or Upwork is often required. Strong time management, self-motivation, and effective client communication are crucial soft skills for building and maintaining client relationships. These competencies ensure you can deliver quality technical solutions independently, meet client expectations, and sustain a successful freelance career.

What are some common challenges freelance computer science graduates face when starting out, and how can they overcome them?

Freelance computer science graduates often encounter challenges such as building a client base, managing irregular workloads, and staying updated with rapidly evolving technologies. To overcome these hurdles, it's helpful to actively network on platforms like LinkedIn and Upwork, continually enhance your technical skills through online courses, and set clear work routines for time management. Seeking mentorship from experienced freelancers and joining relevant online communities can also provide valuable support and guidance as you establish your freelance career.

What is the difference between Freelance Computer Science Graduate vs Software Developer?

AspectFreelance Computer Science GraduateSoftware Developer
CredentialsDegree in Computer Science, possibly certificationsDegree often required; certifications optional
Work EnvironmentSelf-employed, remote or on-site projectsEmployed by companies, office or remote
Industry UsageFreelance platforms, consulting, project-based workTech companies, startups, corporate IT teams

Freelance Computer Science Graduates typically work independently on various projects, leveraging their degree and skills, while Software Developers are usually employed by organizations to develop software as part of a team. Both roles require technical knowledge, but their work settings and employment structures differ significantly.

What are the most commonly searched types of Computer Science Graduate jobs in Washington, DC?

The most popular types of Computer Science Graduate jobs in Washington, DC are:

What are popular job titles related to Freelance Computer Science Graduate jobs in Washington, DC?

For Freelance Computer Science Graduate jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Freelance Computer Science Graduate jobs in Washington, DC look for?

The top searched job categories for Freelance Computer Science Graduate jobs in Washington, DC are:

Freelance Computer Science Graduate jobs near you

2026 PhD Graduate - Machine Learning and Artificial Intelligence

Johns Hopkins University AppliedPhysicsLaboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Description
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
  • Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Contribute to the full research and development lifecycle for emerging problems. This includes model and algorithm selection, experimentation, analysis, and presentation of results.
  • Apply appropriate statistical and machine learning expertise towards selecting modeling approaches for complex, real-world data.
  • Use internal funding opportunities to shape the direction of future research.
  • Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.
  • Have a solid understanding of the mathematical foundations of ML, including probability, statistics, and linear algebra.
  • Have experience using modern AI/ML libraries or frameworks (e.g., PyTorch, TensorFlow, or similar), with including adapting or extending methods for domain-specific problems.
  • Demonstrate experience selecting appropriate modeling techniques for supervised, unsupervised, or reinforcement learning problems in research or real-world settings, with an understanding of when and why they are appropriate.
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You will go above and beyond our minimum requirements if you...
  • Have experience in project management or leading technical teams.
  • Have experience in writing technical proposals, particularly for government research projects.
  • Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
  • Have experience applying machine learning methods to scientific, engineering, or data analysis problems, including areas such as computer vision, NLP, time-series analysis, or scientific machine learning.
  • Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
  • Have experience understanding, developing, or adapting modern AI models and workflows, including large language models, for quantitative analysis and decision support.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ;br>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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