Logo for Meridial Marketplace, by Invisible

ML Engineer Specialist - Freelance AI Trainer Project

Role overview

Qualifications

  • Strong background in machine learning, NLP, or data science.
  • Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.
  • Proficiency in Python, ML frameworks, and cloud-based workflows.
  • Master’s or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus.

Responsibilities

  • Solve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows.
  • Evaluate scientific writing: compare research abstracts and introductions using review rubrics for clarity, correctness, and impact.
  • Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.
  • Design new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations.

Key facts

Hard skills

Other skills

  • Communication

About the company

Meridial Marketplace, by Invisible logo

Meridial Marketplace, by Invisible

Artificial Intelligence & Machine Learning Services

Unknown

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company sizeUnknown

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Do you enjoy Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains? Now imagine doing that as paid work, where your solutions directly strengthen the world’s most advanced AI systems.

Large-scale language models are evolving into engines of discovery, education, and engineering. To get there, they need sharper reasoning and better datasets. As a Machine Learning Specialist, you will take on hands-on ML challenges that feel like research competitions, but with direct impact on next-generation AI.

What You’ll DoOn a typical day, you will:

  • Solve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows.
  • Evaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact.
  • Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.
  • Design new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations.
  • Improve training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and useful.

What you’ll Bring

  • Strong background in machine learning, NLP, or data science.
  • Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.
  • Proficiency in Python, ML frameworks, and cloud-based workflows.
  • Master’s or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus.
  • Clear communication skills, able to explain reasoning and “show your work.”

Why Join

  • Turn your ML problem-solving into real-world impact: your work trains and strengthens cutting-edge AI.
  • Be part of novel AI training initiatives: evaluating models, shaping datasets, and designing challenges at the research frontier.
  • Enjoy flexibility: remote, contract-based work with autonomy to set your schedule.

Ready to turn your machine learning expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $30-$50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.

Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: ML Engineer Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

ML Platform Engineer Related jobs

Other jobs at Meridial Marketplace, by Invisible

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.