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Remote Open Ended Jobs in California (NOW HIRING)

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

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 ...

Anagh Technologies, Inc.

Front End Developer

Mountain View, CA · On-site +1

$122K - $142K/yr

Remote- PST Work Auth: USC, GC, EAD Contract Length: 12 months + extension INT process: IKM -> 3 ... on open ended problems, someone who is initiative driven (may not be given specific tasks) • ...

talentpluto

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... Comfortable owning ambiguous, open-ended problems end to end * Comfortable working in person ...

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

San Francisco, CA • Remote

Mercor
See more jobs at Mercorexternal

$90/hr

Full-time

Re-posted 28 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.