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Remote Machine Learning Trainer Jobs in Duluth, MN

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Remote Machine Learning Trainer information

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$27.8K

$86.7K

$111.7K

How much do remote machine learning trainer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote machine learning trainer in Duluth, MN is $86,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $110,200.00 per year, depending on experience, location, and employer.
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Remote Machine Learning Trainer jobs near you

Online Sweepstakes Reviewer (Remote) - Paid Contract Position

SignUp Expert

Duluth, MN • Remote

Contractor

Re-posted 23 days ago

Job description

Who We Are

Signup Expert is a growth agency that helps brands connect with top-tier people on the ground to grow and scale their businesses through grassroots execution. We specialize in sourcing, training, and managing reliable brand representatives who drive measurable results through hands-on work, local market insight, and direct user engagement.

We are currently hiring on behalf of a leading online sweepstakes review publisher to support ongoing content creation, platform testing, and digital growth initiatives within the iGaming industry.

The Opportunity

Are you interested in writing, digital content, or the fast-growing iGaming industry?

Signup Expert is seeking Online Sweepstakes Reviewers & Content Contributors to support one of our publishing partners by producing high-quality written reviews and evaluating online sweepstakes platforms.

This fully remote, flexible, contract-based role is ideal for individuals who want to:

  • Gain real-world digital publishing experience

  • Build a published content portfolio

What You'll Be Doing

Your responsibilities will include:

  • Testing online sweepstakes registration processes and user journeys

  • Reviewing sign-up flows, KYC requirements, deposit methods, and bonus activation

  • Evaluating platform usability, features, and overall user experience

  • Producing clear, well-structured reviews and editorial content in alignment with standardized templates and guidelines

  • Ensuring all content aligns with regulatory guidelines

  • Documenting findings accurately and submitting deliverables on time

  • Representing Signup Expert and our publishing partners professionally

Who You Are
  • Interested in writing, digital media, or online publishing

  • Curious about online sweepstakes, sports, or the broader iGaming industry

  • A strong written communicator with excellent attention to detail

  • Reliable, organized, and comfortable working independently in a remote setting

  • Willing to follow compliance, responsible gambling, and content guidelines

  • Comfortable conducting online research and learning new platforms

No prior professional experience is required - training and structured guidance will be provided.

Compensation & Benefits

  • Contract / Freelance role with competitive pay (per review or hourly, depending on workload)

  • Performance-based bonus opportunities

  • Fully remote with flexible scheduling

  • Opportunity to build a real, published review portfolio

  • Hands-on experience in a fast-growing global industry

Ready to Join?
We’re not just creating reviews - we’re helping players make informed decisions in an industry that demands trust and transparency. If you’re detail-oriented, curious, and excited to gain experience in creating online content in the iGaming industry, we’d love to hear from you!
 
Posting Notes: Content Writing, Digital Media, Online Publishing, iGaming, Sports Media, Remote Jobs
 
All testing and reviews are conducted following strict responsible standards and applicable regulatory guidelines.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.