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Deep Learning Freelance Jobs in Washington, DC (NOW HIRING)

Data Mining | Deep learning | Error correction | Error modeling | Language Processing * Algorithms ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

SAT/ACT Tutor

Mclean, VA · On-site

$55 - $100/hr

Deep Learning Through Deep Relationships Learn more: www.topscoreedu.com The Opportunity We're ... rather than a lone-wolf freelancer Compensation & Benefits - Starting pay: $55-$88/hour ...

SAT/ACT Tutor

Mclean, VA · On-site

$55 - $100/hr

Deep Learning Through Deep Relationships Learn more: www.topscoreedu.com The Opportunity We're ... rather than a lone-wolf freelancer Compensation & Benefits - Starting pay: $55-$88/hour ...

SAT/ACT Tutor

Mclean, VA · On-site

$55 - $100/hr

Deep Learning Through Deep Relationships Learn more: www.topscoreedu.com The Opportunity We're ... rather than a lone-wolf freelancer Compensation & Benefits - Starting pay: $55-$88/hour ...

Deep Learning Freelance information

See Washington, DC salary details

$16

$54

$149

How much do deep learning freelance jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for deep learning freelance in Washington, DC is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $69.95 per hour, depending on experience, location, and employer.

What is a deep learning freelancer?

A Deep Learning Freelancer is an independent professional who specializes in developing and implementing deep learning models for various clients or organizations on a project basis. They use neural networks and advanced machine learning techniques to solve problems such as image recognition, natural language processing, and predictive analytics. Deep Learning Freelancers often work remotely and collaborate with clients from diverse industries, offering expertise in model development, data preprocessing, and deployment. Their responsibilities may also include consulting on AI strategies and optimizing existing deep learning solutions.

What are the key skills and qualifications needed to thrive as a deep learning freelancer?

To thrive as a Deep Learning Freelancer, you need strong programming skills (especially in Python), a deep understanding of neural network architectures, and a solid background in mathematics and machine learning, usually supported by relevant degrees or certifications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras, along with experience using cloud platforms such as AWS or Google Cloud, is typically expected. Excellent problem-solving, self-management, and client communication skills distinguish top freelancers in this field. These skills are vital for delivering effective AI solutions, meeting client expectations, and staying competitive in a rapidly evolving market.

What are some common challenges faced by deep learning freelancers when managing multiple projects simultaneously?

Deep learning freelancers often juggle several projects at once, each with unique data requirements, timelines, and client expectations. A key challenge is efficiently allocating time and computational resources while ensuring high-quality model development for each client. Effective communication is crucial to manage deliverables and clarify technical constraints, especially when working remotely with teams from different domains. Prioritizing tasks and setting realistic milestones can help freelancers maintain productivity and client satisfaction.

What are the most commonly searched types of Deep Learning jobs in Washington, DC?

The most popular types of Deep Learning jobs in Washington, DC are:

What are popular job titles related to Deep Learning Freelance jobs in Washington, DC?

For Deep Learning Freelance jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Deep Learning Freelance jobs in Washington, DC look for?

The top searched job categories for Deep Learning Freelance jobs in Washington, DC are:

Infographic showing various Deep Learning Freelance job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,388 per year, or $54 per hour.

Featured Feat. Data Scientist

Aitopics

Washington, DC • On-site

$80 - $157/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Job description

Georgetown University: Main Campus: Walsh School of Foreign Service - 500 First St NW 7th Floor

USD 80K-157K Mid-level

Responsibilities
  • Communicate findings to policy audiences
  • Conduct research design and data method identification
  • Create accessible visualizations and web interfaces
  • Design evaluate and implement modeling solutions
  • Develop AI-enabled solutions
  • Document and communicate methods and data resources
  • Implement extraction classification clustering annotation entity resolution
  • Improve dataset quality and utility
  • Ingest structured and unstructured datasets
  • Interpret results and draw inferences
  • Monitor AI machine learning biotechnology and national security policy trends
Skills
  • A/B | A/B Testing | B testing | Causal Inference | Data Mining
  • AWS Batch | Agile | Amazon Athena | Amazon Redshift | Apache Airflow
  • Data Mining | Deep learning | Error correction | Error modeling | Language Processing
  • Algorithms | Clustering | Component analysis | Data Structures | Deep learning
  • Adobe Analytics | Agentic AI | Anthropic Claude | Benchmarking | Classification
  • Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs
  • Dash | Data Mining | Data Modeling | Data Quality | Data Visualization
  • Electromagnetism | Mechanics | NumPy | Numerical Simulation | Pandas
  • Computational physics | NumPy | Numerical Simulation | Pandas | Physics modeling
  • Electromagnetism | Mechanics | NumPy | Numerical Methods | Numerical Simulation
  • C# | Computational physics | MATLAB | NumPy | Numerical Simulation
  • Computer Vision | Convolutional Neural Networks | Data Pipelines | Deep learning | Gradient boosting
Benefits & Perks
  • 401k retirement plan | Career growth opportunities | Dental insurance | Employee Rental Discounts | Floating paid holidays
  • 401k match | Company holidays | Dental insurance | Employee assistance program | Health and wellness program
  • 401k | 401k match | AD and D insurance | Commuter benefits | Dental insurance | Employee assistance program
  • 401k retirement plan | Equity package | Growth opportunities | Hybrid work schedule | Medical, dental, and vision coverage
  • Flexible work hours | Learning culture | Mentoring | Sponsorship | Work-life balance
  • 401k | Disability insurance | Employee stock purchase plan | Health insurance | Life insurance
  • Catered lunches | Summer party | Team collaboration
Employment Options
  • Senior-level Full Time
  • Flexible schedule | Freelance projects | Part-time work | Project based work
  • Flexible schedule | Freelance opportunities | Part-time hours | Project based work
  • Part-time freelance | Project based work
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