Apply for remote Machine Learning jobs from companies hiring across the globe. This page features work-from-anywhere opportunities for professionals specializing in artificial intelligence, predictive modeling, and advanced algorithm development.
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Human Baseliner for Open-Ended ML Research Tasks
Type: Contract
Compensation: $75–$90/hour
Location: Remote
Commitment: 20+ hours/week
Role Responsibilities
• Attempt open-ended machine learning research tasks under a fixed time and compute budget.
• Work independently in a sandboxed Linux environment with internet access.
• Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.
• Record full working sessions via screen recording.
• Complete pre-task and post-task questionnaires.
• Submit final work product, screen recording, and completed questionnaires for evaluation.
Qualifications
Must-Have
• 3+ years of machine learning experience. Time in a PhD program counts.
• Attended a top-100 university or worked at FAANG or a comparable company.
• Experience with PyTorch, JAX, or TensorFlow.
• Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines.
Required Domain Expertise
• Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.
Logistics
• One baseline attempt per contractor per task.
• Each task may only be attempted once.
• All work is confidential and covered by NDA.
• Compute and environment are provided; no personal GPU required.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
Mercor2 roles
SynergisticIT2 roles
Hugging Face1 role
Yelp1 role
Wyetech1 role
Qualis1 Inc.1 role
Top Locations
Remote10 roles
100% of these openings can be done remotely.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 81k to USD 269k.
Typical band: USD 96k – 186k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time6 roles
Part-Time2 roles
Full-Time And Contractor1 role
Contractor1 role
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Apply for remote Machine Learning jobs from companies hiring across the globe. This page features work-from-anywhere opportunities for professionals specializing in artificial intelligence, predictive modeling, and advanced algorithm development.
Machine Learning professionals design, build, and deploy models that enable systems to learn from data and improve performance over time. Employers are actively seeking candidates skilled in Python, TensorFlow, PyTorch, Scikit-learn, and deep learning frameworks. Experience with data preprocessing, feature engineering, model evaluation, and MLOps practices is highly valued.
Remote Machine Learning roles are available across industries including fintech, healthcare, e-commerce, cybersecurity, autonomous systems, SaaS, and AI startups. Many companies are building distributed AI teams, allowing professionals to collaborate globally while working from home.
Our curated listings include fully remote positions across North America, Europe, Asia-Pacific, and other global tech markets. Many roles offer competitive compensation, flexible schedules, and opportunities to work on cutting-edge AI products.
Each job posting provides detailed information about technical requirements, project scope, and application steps to help you quickly find the right opportunity.
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