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Remote Contract Mainframe Jobs in California (NOW HIRING)

Remote Contract Mainframe information

What is the difference between Remote Contract Mainframe vs Remote Contract COBOL Developer?

AspectRemote Contract MainframeRemote Contract COBOL Developer
Required CredentialsMainframe certifications, COBOL knowledgeCOBOL certifications, mainframe experience
Work EnvironmentMainframe systems, legacy platformsLegacy systems, mainframe environments
Industry UsageFinancial, insurance, governmentFinancial, banking, insurance
Search & Comparison IntentUnderstanding mainframe roles, contract workCOBOL programming, contract opportunities

Remote Contract Mainframe and Remote Contract COBOL Developer roles both involve working with legacy mainframe systems, often in financial and government sectors. While they share similar credentials and work environments, the main difference lies in the focus: mainframe roles encompass broader system management, whereas COBOL developers specialize in programming and maintaining COBOL code. Both roles are in high demand for legacy system support and often overlap in job requirements.

What are the most commonly searched types of Remote Mainframe jobs in California? The most popular types of Remote Mainframe jobs in California are:
What are popular job titles related to Remote Contract Mainframe jobs in California? For Remote Contract Mainframe jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Contract Mainframe jobs in California look for? The top searched job categories for Remote Contract Mainframe jobs in California are:
What cities in California are hiring for Remote Contract Mainframe jobs? Cities in California with the most Remote Contract Mainframe job openings:
Infographic showing various Remote Contract Mainframe job openings in California as of June 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.
Machine Learning Expert - Fully Remote | Upto $90/hr

Machine Learning Expert - Fully Remote | Upto $90/hr

Mercor

San Francisco, CA • Remote

$90/hr

Full-time

Posted 24 days ago


Job description

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.