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Llm Remote Jobs in Virginia (NOW HIRING)

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

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Llm Remote information

How can I make 2000 a week working from home?

Llm Remote roles typically involve tasks like data annotation, content review, or AI training, which can pay hourly or per project. To earn $2000 weekly, you may need to combine multiple freelance or contract positions, develop specialized skills, and work full-time hours, often requiring strong communication and technical proficiency. Building a portfolio and leveraging remote job platforms can help find higher-paying opportunities in this field.

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 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.

How to make $1000 a week remotely?

To make $1000 a week remotely, individuals can pursue high-paying freelance roles such as content writing, programming, or digital marketing, often requiring specialized skills and experience. Building a strong portfolio, acquiring relevant certifications, and consistently applying to well-paying remote jobs or freelance projects can help achieve this income level.

What jobs can I do with LLM?

With an LLM (Master of Laws), you can pursue careers such as legal analyst, corporate counsel, compliance officer, or legal consultant. These roles often require strong research, writing, and analytical skills, and may involve working in law firms, corporations, or government agencies.

Which LLM is in demand?

In the field of large language models (LLMs), models like OpenAI's GPT-4 and GPT-3.5 are highly sought after for their advanced natural language processing capabilities. Skills in training, fine-tuning, and deploying these models, along with experience in machine learning frameworks such as TensorFlow or PyTorch, are in high demand for roles involving LLM development and application.

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 are the most commonly searched types of Llm jobs in Virginia? The most popular types of Llm jobs in Virginia are:
What are popular job titles related to Llm Remote jobs in Virginia? For Llm Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Llm Remote jobs in Virginia look for? The top searched job categories for Llm Remote jobs in Virginia are:
What cities in Virginia are hiring for Llm Remote jobs? Cities in Virginia with the most Llm Remote job openings:
Llm Remote jobs near you
Infographic showing various Llm Remote job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 88% Full Time, 4% Part Time, 3% Contract, and 2% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Chesapeake, VA • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link:

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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