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Quant Developer Freelance Jobs (NOW HIRING)

Work directly with product owners, developers, and other stakeholders to define user flows ... Bring a data-informed approach to decision-making, thinking about both qualitative and quantitative ...

... and data engineering could directly shape how the world's most advanced AI systems reason and ... Freelance autonomy with meaningful, intellectually stimulating work * Direct, hands-on engagement ...

... data engineering could directly shape how the world's most advanced AI systems reason and solve ... Freelance autonomy with the structure of meaningful, high-impact technical work * Make a tangible ...

... data engineering could directly shape how the world's most advanced AI systems reason and solve ... Freelance autonomy with meaningful, intellectually stimulating task-based work * Engage hands-on ...

... data engineering could directly shape how the world's most advanced AI systems reason through ... Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your ...

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Quant Developer Freelance information

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$98K

$169.7K

$259.5K

How much do quant developer freelance jobs pay per year?

As of Jun 3, 2026, the average yearly pay for quant developer freelance in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Developer Freelance, and why are they important?

To thrive as a Quant Developer Freelance, you need strong quantitative analysis skills, advanced programming abilities (often in Python, C++, or R), and a solid understanding of financial markets, typically supported by a degree in mathematics, finance, or computer science. Proficiency with statistical modeling tools, data analysis libraries (such as NumPy, pandas, or MATLAB), and familiarity with version control systems like Git are commonly required. Exceptional problem-solving, self-motivation, and clear communication help freelancers effectively deliver solutions and collaborate with remote teams or clients. These skills are vital for developing accurate, efficient trading models and maintaining successful client relationships in a competitive, project-based environment.

What are the most common challenges faced by freelance Quant Developers when working with multiple clients?

Freelance Quant Developers often face challenges such as managing overlapping project deadlines, adapting to differing coding standards, and quickly familiarizing themselves with diverse financial models used by various clients. Effective communication is crucial, as remote work may lead to misunderstandings about project requirements or data sources. Additionally, freelancers must stay up-to-date with the latest quantitative techniques and programming tools to remain competitive and deliver high-quality solutions tailored to each client's needs.

What are Quant Developer Freelancers?

Quant Developer Freelancers are independent professionals who specialize in quantitative finance, using mathematical models, statistical techniques, and programming skills to develop trading algorithms, risk models, and analytics tools. Unlike full-time employees, freelancers work on a contract basis, often handling projects for hedge funds, investment banks, or fintech companies. They typically have expertise in programming languages like Python, C++, or R, and possess strong analytical and problem-solving abilities. Hiring freelance quant developers allows organizations to access specialized skills for specific projects without long-term commitments.
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Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 7 days ago


Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding