Back

Remote | Machine Learning Engineer Expert Network — Up to $250/hr

Worldwide Salaried Open

We are sharing a specialised part-time consulting opportunity for experienced Machine Learning Engineers to join an expert network supporting advanced AI research initiatives. This is an open application talent network designed to connect machine learning professionals with leading AI labs and companies seeking technical expertise. Once approved, experts may be invited to participate in projects that help train and evaluate AI systems designed to understand machine learning development, model evaluation, and real-world deployment workflows.

Key Responsibilities

Experts in this network may contribute to: Evaluating AI systems that simulate machine learning engineering workflows Creating tasks based on real-world ML development and deployment scenarios Designing evaluation frameworks for model training, validation, and optimization Reviewing AI-generated outputs related to ML model development and infrastructure Providing domain expertise to improve AI reasoning in machine learning and data science environments Ideal Profile Strong candidates may have experience in: Machine learning model development Python and ML frameworks (PyTorch, TensorFlow) Model deployment and MLOps workflows Production-level ML systems and data pipelines Candidates should also demonstrate: Strong technical communication and analytical skills Practical experience building or deploying ML systems Ability to work independently in remote environments Why Join This Network Contribute expertise to next-generation AI systems for machine learning development Work on projects at the intersection of AI research and ML engineering Flexible consulting engagements aligned with your schedule Opportunities matched to your technical expertise How the Talent Network Works Apply once Create your profile and upload your resume. Get verified Mercor reviews your credentials and approves qualified experts. Get matched When relevant projects arise, experts are matched based on their ML expertise. Start contributing Participate in interviews and begin working on projects aligned with your experience. Contract Details Independent contractor role Fully remote with flexible scheduling Typical commitment: 15–30 hours per week Compensation: $70–$250 per hour Weekly payments via Stripe or Wise About the Platform This opportunity is available through a leading AI-driven work platform. Apply tot his job Apply To this Job Apply tot his job Apply To this Job Apply tot his job Apply To this Job

More jobs

Machine Learning Engineer, Core Engineering

Worldwide Salaried

Senior Machine Learning Engineer, Ranking - Quora (Remote)

Worldwide Salaried

[Remote] Prompt Engineer / AI Product Builder

Worldwide Salaried

SR Prompt Engineer - CRE Technology - Remote

Worldwide Salaried

Machine Learning Engineer – Remote

Worldwide Salaried

Prompt Engineer, Remote (MA,NH,RI, GA only), Full-Time

Worldwide Salaried

[Remote] AI Prompt Engineer – HLE (Humanity’s Last Exam

Worldwide Salaried

[Remote] Prompt Engineer (Chinese) | $43/hr Remote

Worldwide Salaried

Data Science/Machine Learning Engineer (Remote, Continental United States)

Worldwide Salaried

AI Prompt Engineer, Remote

Worldwide Salaried

Experienced Physician Assistant / Nurse Practitioner - Primary Care & Family Medicine Clinic - Full-Time Position

Worldwide Salaried

Software Acceleration Associate - Nebraska

Worldwide Salaried

Account Growth Manager (Virtual)

Worldwide Salaried

Experienced Remote Data Entry Specialist – Ensuring Data Integrity and Efficiency at arenaflex

Worldwide Salaried

Experienced Customer Service Representative - Voice & Chat - Remote Beauty Advisor

Worldwide Salaried

ABA Scheduler - California Based

Worldwide Salaried

Immediate Hiring: Part-Time Remote Customer Support Specialist at arenaflex

Worldwide Salaried

[Remote] Marketing Coordinator

Worldwide Salaried

[Remote] Marketing and Sales Solar Specialist

Worldwide Salaried

Remote arenaflex Customer Experience Chat Support Specialist – Full‑Time, Flexible Schedule

Worldwide Salaried