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Freelance Machine Learning Jobs (NOW HIRING)

Interest in AI and machine learning concepts. Important Information: This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles Interest in AI and machine learning concepts Important Information This is a freelance position ...

... machine learning concepts - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be authorized to work in their ...

Speakers/Writers

Fremont, CA · On-site

$15 - $60/hr

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

... and machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be ...

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

Interest in AI and machine learning concepts. Important Information: This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

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Freelance Machine Learning information

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$14

$47

$132

How much do freelance machine learning jobs pay per hour?

As of Jul 14, 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 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.

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.

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:
Infographic showing various Freelance Machine Learning job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 20% Full Time, 37% Part Time, 20% Contract, 17% Nights, and 4% Summer. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Strategy Consultant - AI Training & Evaluation (Freelance, Remote)

Mindrift

Remote

$60/hr

Part-time

Posted 5 days ago

New


Job description

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka - a leading enterprise AI and machine learning data partner since 2014 - connects top domain experts with cutting-edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples - from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Who We're Looking For
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
  • Structuring ambiguous client problems into workable analytical plans
  • Building financial models, market analyses, or synthesized findings from messy inputs
  • Producing client-ready deliverables under time pressure
  • Forming and defending recommendations under uncertainty

No deep technical background is required - we will onboard you on the lightweight tools involved.
What You'll Do
  • Build realistic consulting project environments - create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
  • Design structured consulting tasks for AI agents - break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
  • Define evaluation criteria and quality standards - develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
Skills & Requirements
  • 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
  • Strong structured problem-solving and hypothesis-driven thinking
  • Ability to translate vague problems into clear analytical steps and deliverables
  • High attention to logical consistency and output quality
  • Independent, self-directed working style
  • Clear written English (B2+)

Compensation
On this project, contributors can earn up to $60 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.