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Llm Remote Jobs (NOW HIRING)

Digital Links Inc

AI LLM (W2)

Glen Allen, VA · Remote

Remote Work Requirements AI LLM GC/USC Work must be performed from a secure, fixed location with reliable high-speed internet within the contiguous United States. Interview Process Our process is ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What You will do: AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered ...

Nvidia

$135K - $181K/yr

Design and evolve a unified memory layer that spans GPU memory, pinned host memory, RDMA-accessible memory, SSD tiers, and remote file/object/cloud storage to support large-scale LLM inference.

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Llm Remote information

What is an LLM Remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What remote jobs can I do with a law degree?

With a law degree, you can pursue remote legal roles such as legal consultant, contract reviewer, legal researcher, or compliance officer. These positions often require strong analytical skills, knowledge of legal software, and the ability to work independently in a virtual environment.

What are some common challenges faced by remote Large Language Model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

What is the salary of an LLM in the US?

The salary of an LLM (Master of Laws) graduate in the US varies depending on the industry, location, and experience, but typically ranges from $60,000 to $120,000 annually. For legal professionals or roles requiring specialized legal knowledge, salaries can be higher, especially with additional certifications or experience.

Is LLM in demand?

The demand for roles involving large language models (LLMs) is increasing as AI and natural language processing technologies expand across industries. Skills in machine learning, data analysis, and AI tools are highly sought after for positions related to LLM development, deployment, and research. This trend is expected to continue as organizations adopt AI solutions for automation and innovation.

What are the key skills and qualifications needed to thrive as an LLM Remote Engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.

What is the salary of LLM engineer?

The salary of an LLM (Large Language Model) engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in AI and machine learning can earn higher salaries, often exceeding $200,000 with bonuses and stock options.
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Llm Remote jobs near you

Remote | LLM Personal Assistant Evaluation Specialist - $70-$180/hour

24-MAG LLC

Remote

$70 - $180/hr

Other

Posted 4 days ago

Job description

About the job Remote | LLM Personal Assistant Evaluation Specialist - $70-$180/hour
We are sharing a specialised part-time consulting opportunity for advanced LLM power users experienced in personalized AI workflows, rubric-based evaluation, real-world task assessment, personal productivity systems, and high-context decision support.
This role supports current and upcoming remote consulting opportunities focused on evaluating how AI systems handle personalized, real-world life tasks across food, health, productivity, career, learning, research, planning, and personal workflow scenarios. Selected professionals will create realistic prompts, complete complex AI-assisted tasks, record workflow execution, design or apply detailed rubrics, and evaluate whether AI outputs are useful, personalized, practical, safe, and successful in real-life contexts.
Key Responsibilities
Professionals in this role may contribute to:
Personalized AI Task Evaluation

  • Create written responses, prompts, and explanations for complex personal-life tasks
  • Evaluate whether AI outputs are practical, well-reasoned, personalized, realistic, and successful
  • Identify where outputs succeed, miss context, overreach, provide generic advice, or fail to account for real constraints
  • Use hands-on LLM experience to assess real-world usefulness across high-context personal workflows
Rubric Design & Quality Assessment
  • Apply structured rubrics and quality criteria to evaluate AI system performance
  • Create detailed evaluation rubrics for complex personal tasks and multi-step workflows
  • Judge outputs against criteria involving usefulness, personalization, reasoning quality, safety, completeness, and success conditions
  • Write clear, specific, and well-supported feedback explaining evaluation decisions
Real-World Workflow Execution
  • Execute AI-assisted tasks while recording screens according to project instructions
  • Review task performance across tools, prompts, reasoning steps, outputs, and final recommendations
  • Complete research-intensive personal workflows end-to-end within expected turnaround timelines
  • Maintain careful documentation of task setup, execution, rubric design, and evaluation results
Ideal Profile
Strong candidates may have:
  • Heavy personal usage of LLM products and AI tools
  • Experience using AI for multi-step tasks, planning, research, decision-making, personal workflows, or life administration
  • Familiarity with tools such as ChatGPT, Claude, Gemini, Perplexity, Cursor, Windsurf, Codex, or other AI agents
  • Strong ability to explain what makes an AI output useful, incomplete, unsafe, unrealistic, generic, or poorly personalized
  • Extensive rubric experience, including prior rubric design, evaluation, and quality assessment work
  • Strong written judgment, attention to detail, and ability to evaluate against structured criteria
  • Ability to complete tasks within 24 hours when project timing requires
Educational Background
  • Formal degree requirements may vary based on project needs
  • Practical experience using LLMs for complex personal workflows, rubric-based evaluation, research, writing, QA, product testing, or AI assessment is highly relevant
  • Experience in education, research, operations, productivity systems, coaching, writing, product evaluation, user research, or AI workflow design may be especially valuable
Nice to Have
  • 100+ hours of prior rubric-related work involving rubric design, evaluation, model assessment, quality review, or structured judgment
  • Experience evaluating AI tools across personal productivity, career planning, food recommendations, learning workflows, health-adjacent reasoning, or personal research tasks
  • Strong familiarity with personal AI workflows involving calendars, reminders, errands, job applications, LinkedIn, resumes, study plans, restaurant selection, or decision support
  • Ability to record screen-based workflows clearly and follow detailed task instructions
  • Access to a desktop or laptop computer suitable for project work and screen recording
Why This Opportunity
  • Apply advanced LLM power-user experience to structured remote project work
  • Contribute to high-quality evaluation of personalized AI assistant workflows
  • Work on flexible assignments involving practical, real-world personal tasks across multiple domains
  • Use your judgment to help assess whether AI systems are truly useful, personalized, realistic, and successful
  • Remote structure with competitive hourly compensation
Contract Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Eligible professionals should be based in the United States depending on project needs
  • Expected commitment of approximately 15-40 hours per week depending on project availability and scope
  • Participants may be asked to complete a paid work trial as part of onboarding
  • Work trial compensation may be approximately $30 upon completion depending on project requirements
  • Tasks may require 24-hour turnaround depending on assignment timing
  • Desktop or laptop computer required for project work and screen recording
  • Competitive rates between $70-$180 per hour depending on expertise, project scope, and task type
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

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