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... learning from peers around the world while shaping the cultural landscape in your city ... Our Producers have strong business instincts, cultural fluency, and deep local networks they can ...
... learning from peers around the world while shaping the cultural landscape in your city ... Our Producers have strong business instincts, cultural fluency, and deep local networks they can ...
... learning from peers around the world while shaping the cultural landscape in your city ... Our Producers have strong business instincts, cultural fluency, and deep local networks they can ...
... learning from peers around the world while shaping the cultural landscape in your city ... Our Producers have strong business instincts, cultural fluency, and deep local networks they can ...
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... learning from peers around the world while shaping the cultural landscape in your city ... Our Producers have strong business instincts, cultural fluency, and deep local networks they can ...
Quick apply
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Deep Learning Freelance information
See salary details
$23.52 is the 25th percentile. Wages below this are outliers.
$14.90 - $25.57
31% of jobs
The median wage is $32.14 / hr.
$25.57 - $36.23
31% of jobs
$36.23 - $46.90
4% of jobs
$56.23 is the 75th percentile. Wages above this are outliers.
$46.90 - $57.56
10% of jobs
$57.56 - $68.23
9% of jobs
$68.23 - $78.89
5% of jobs
$78.89 - $89.55
0% of jobs
$89.55 - $100.22
8% of jobs
$100.22 - $110.88
0% of jobs
$110.88 - $121.55
0% of jobs
$121.55 - $132.21
1% of jobs
$14
$47
$132
How much do deep learning freelance jobs pay per hour?
As of Jun 12, 2026, the average hourly pay for deep learning freelance in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 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 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 key skills and qualifications needed to thrive as a Deep Learning Freelancer, and why are they important?
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.
More about Deep Learning Freelance jobs
What cities are hiring for Deep Learning Freelance jobs? Cities with the most Deep Learning Freelance job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Deep Learning Freelance jobs? States with the most job openings for Deep Learning Freelance jobs include:
What job categories do people searching Deep Learning Freelance jobs look for? The top searched job categories for Deep Learning Freelance jobs are:
$90/hr
Part-time
Posted 26 days ago
Job description
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
What we look for
This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
- Design original computational STEM problems that simulate real scientific workflows
- Create problems that require Python programming to solve
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
- Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
- Document problem statements clearly and provide verified correct answers
What we look for
This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
- 5+ years of hands-on machine learning experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
- Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
- Expert with SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Strong written English (C1+).
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.