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Remote Python Llm Jobs in New York, NY (NOW HIRING)

Mercor

LLM Red Team Specialist - AI

New York, NY · On-site +1

$60 - $90/hr

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... Proficiency in Python and Git . * Familiarity with LLM capabilities and evaluation techniques.

Posted today

NextDeavor Inc.

Senior AI Engineer

New York, NY · Remote

$150K - $220K/yr

Senior AI Engineer Full-time Remote Exclusive confidential search -- details shared with qualified ... or LLM-powered agents * Deep Python and strong production engineering practices (testing, code ...

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How much do remote python llm jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote python llm in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.
What are the most commonly searched types of Python Llm jobs in New York, NY? The most popular types of Python Llm jobs in New York, NY are:
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Remote Python Llm jobs near you

LLM Red Team Specialist - AI

Mercor

New York, NY • On-site, Remote

$60 - $90/hr

Full-time

Posted 20 hours ago

Posted today

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: LLM Red Team Specialist — Failure Modes & Edge Cases
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities

  • Evaluate frontier AI models on coding, ML, and analysis tasks to identify vulnerabilities and failure modes.
  • Design complex tasks that challenge models and are fair for grading.
  • Document findings with clear evidence and reproducible steps.
  • Collaborate with task authors to close loopholes and improve grading.
  • Share insights with researchers to enhance benchmark quality.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • MSc or PhD in a STEM field or equivalent experience.
  • 1+ years in research, research-engineering, security, or AI evaluation.
  • Experience identifying vulnerabilities in LLMs or ML systems.
  • Proficiency in Python and Git.
  • Familiarity with LLM capabilities and evaluation techniques.
  • Ability to work 35 hours/week.

Preferred

  • Experience in AI training, model evaluation, or benchmark/task authoring.

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.