ZipRecruiter

Log In

1

Freelance Machine Learning Jobs (NOW HIRING)

Jobgether

Join an innovative AI-focused environment where human expertise plays a key role in improving the accuracy and reliability of next-generation machine learning systems. In this freelance remote ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning JobsFreelance Machine Learning Jobs

Freelance Machine Learning information

See salary details

$14

$47

$132

How much do freelance machine learning jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for freelance machine learning 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 Freelance Machine Learning job?

A Freelance Machine Learning job involves working independently on machine learning projects for various clients instead of being employed by a single company. Freelancers may develop models, analyze data, fine-tune algorithms, or deploy AI solutions based on client needs. They often find work through freelance platforms, networking, or direct client outreach. This role offers flexibility in workload, project selection, and work location, but it also requires self-marketing and project management skills.

What are the key skills and qualifications needed to thrive in the Freelance Machine Learning position, and why are they important?

To thrive as a Freelance Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially in Python or R), and experience with machine learning algorithms. Proficiency in tools like TensorFlow, PyTorch, scikit-learn, and often cloud platforms such as AWS or Google Cloud is highly valuable, and certifications in data science or machine learning can enhance your credibility. Strong communication skills, self-motivation, and the ability to manage time and client relationships independently help you excel in a freelance setting. These abilities ensure you can deliver effective solutions, secure repeat clients, and adapt quickly to various project requirements in a competitive market.

What are common challenges faced by Freelance Machine Learning professionals and how can they be managed?

Freelance Machine Learning professionals often face challenges such as managing multiple projects with varying requirements, keeping up with rapidly evolving technologies, and clarifying expectations with diverse clients. Effective time management, strong communication to set clear deliverables, and continual learning are key strategies to overcome these obstacles. Building a broad professional network and maintaining a strong online portfolio also help freelancers attract and retain clients. Staying organized and routinely updating technical skills can turn these challenges into opportunities for professional growth and success.
More about Freelance Machine Learning jobs
What cities are hiring for Freelance Machine Learning jobs? Cities with the most Freelance Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Freelance Machine Learning jobs? States with the most job openings for Freelance Machine Learning jobs include:
What job categories do people searching Freelance Machine Learning jobs look for? The top searched job categories for Freelance Machine Learning jobs are:
Freelance Machine Learning jobs near you

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 9 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

    Apply